56 datasets found
  1. G

    82 - Historical Reconnaissance Vegetation Inventory (RVI) Maps

    • ouvert.canada.ca
    • datasets.ai
    html, xml, zip
    Updated May 21, 2025
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    Government of Alberta (2025). 82 - Historical Reconnaissance Vegetation Inventory (RVI) Maps [Dataset]. https://ouvert.canada.ca/data/dataset/8d3604cc-1bba-4c42-90c0-575150b4252c
    Explore at:
    zip, html, xmlAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset provided by
    Government of Alberta
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1986 - Jan 1, 1993
    Description

    This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

  2. u

    82 - Historical Reconnaissance Vegetation Inventory (RVI) Maps - Catalogue -...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Jun 10, 2025
    + more versions
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    (2025). 82 - Historical Reconnaissance Vegetation Inventory (RVI) Maps - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/ab-gda-7c727325-750d-40fb-b7cf-c21aa92d9294
    Explore at:
    Dataset updated
    Jun 10, 2025
    Area covered
    Canada
    Description

    This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

  3. G

    84 - Historical Reconnaissance Vegetation Inventory (RVI) Maps

    • ouvert.canada.ca
    • open.canada.ca
    html, xml, zip
    Updated May 21, 2025
    + more versions
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    Government of Alberta (2025). 84 - Historical Reconnaissance Vegetation Inventory (RVI) Maps [Dataset]. https://ouvert.canada.ca/data/dataset/2ecfee0f-e06a-4c85-b8b3-bb78427b1bb0
    Explore at:
    zip, html, xmlAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset provided by
    Government of Alberta
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1986 - Jan 1, 1993
    Description

    This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

  4. u

    74 - Historical Reconnaissance Vegetation Inventory (RVI) Maps - Catalogue -...

    • beta.data.urbandatacentre.ca
    Updated Jun 10, 2025
    + more versions
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    (2025). 74 - Historical Reconnaissance Vegetation Inventory (RVI) Maps - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/ab-gda-fba1122e-9cc2-4a99-b679-308a9d86d00b
    Explore at:
    Dataset updated
    Jun 10, 2025
    Area covered
    Canada
    Description

    This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

  5. Global import data of Cvc

    • volza.com
    csv
    Updated Jun 24, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Cvc [Dataset]. https://www.volza.com/p/cvc/import/import-in-united-states/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    5714 Global import shipment records of Cvc with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  6. Global export data of Cvc

    • volza.com
    csv
    Updated Jun 24, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Cvc [Dataset]. https://www.volza.com/p/cvc/export/export-from-japan/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    286 Global export shipment records of Cvc with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  7. G

    73 - Historical Reconnaissance Vegetation Inventory (RVI) Maps

    • open.canada.ca
    • ouvert.canada.ca
    html, xml, zip
    Updated May 21, 2025
    + more versions
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    Government of Alberta (2025). 73 - Historical Reconnaissance Vegetation Inventory (RVI) Maps [Dataset]. https://open.canada.ca/data/dataset/86636773-d13e-43fd-bd2e-57f88654d825
    Explore at:
    zip, html, xmlAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset provided by
    Government of Alberta
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1986 - Jan 1, 1993
    Description

    This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

  8. Submissions to ICDAR'25 MapText Competition

    • zenodo.org
    bz2, csv
    Updated Apr 29, 2025
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    Jerod Weinman; Jerod Weinman (2025). Submissions to ICDAR'25 MapText Competition [Dataset]. http://doi.org/10.5281/zenodo.15297995
    Explore at:
    csv, bz2Available download formats
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jerod Weinman; Jerod Weinman
    Description

    Public submissions to the ICDAR'25 Competition on Historical Map Text Detection, Recognition, and Linking.

    Files downloaded on April 29, 2025.

    Files in the archive (submissions.tar.bz2) are stored in ch32/tY/fZ/W.json where Y is the task number (1–4), Z is the file number (1–3), and W is the submission ID.

    Tasks are:

    • 1: Word Detection
    • 2: Phrase Detection (Word Detection and Grouping)
    • 3: Word Detection and Recognition
    • 4: Phrase Detection and Recognition

    Files are:

    • 1: Rumsey data set
    • 2: IGN (French Land Register) data set
    • 3: TWH (Taiwan Historical Maps) data set

    Submissions IDs are listed with other metadata in submissions.csv.

  9. u

    72 - Historical Reconnaissance Vegetation Inventory (RVI) Maps - Catalogue -...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Jun 24, 2025
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    (2025). 72 - Historical Reconnaissance Vegetation Inventory (RVI) Maps - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/ab-gda-631de74e-bd13-4178-9549-8447a5f7246b
    Explore at:
    Dataset updated
    Jun 24, 2025
    Area covered
    Canada
    Description

    This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

  10. Global export data of Cvc

    • volza.com
    csv
    Updated Apr 7, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Cvc [Dataset]. https://www.volza.com/p/cvc/export/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 7, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    310027 Global export shipment records of Cvc with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  11. Taiwan Train and Validation Data for ICDAR'25 MapText Competition

    • zenodo.org
    json, zip
    Updated Dec 18, 2024
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    Yijun Lin; Yijun Lin; Su Wen-Rong; Liao Hsiung-Ming; Ta-Chien Chan; Ta-Chien Chan; Yao-Yi Chiang; Yao-Yi Chiang; Su Wen-Rong; Liao Hsiung-Ming (2024). Taiwan Train and Validation Data for ICDAR'25 MapText Competition [Dataset]. http://doi.org/10.5281/zenodo.14483531
    Explore at:
    zip, jsonAvailable download formats
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Yijun Lin; Yijun Lin; Su Wen-Rong; Liao Hsiung-Ming; Ta-Chien Chan; Ta-Chien Chan; Yao-Yi Chiang; Yao-Yi Chiang; Su Wen-Rong; Liao Hsiung-Ming
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Taiwan
    Description

    Dataset of 2Kx2K image tiles cropped from Taiwan Historical Maps System for the ICDAR'25 Competition on Historical Map Text Detection, Recognition, and Linking.

    This collection contains topographic maps related to Taiwan, covering detailed records of the terrain, topography, and geographic names (in traditional Chinese).

    Annotations and images follow the format described at the competition website and can be evaluated using the official evaluation repository script.

    Please note the we also provide an extra synthetic dataset in traditional Chinese for training, which is released under the record: "SynthMap+ (Traditional Chinese) Synthetic Train Data for ICDAR'25 MapText Competition" (10.5281/zenodo.14502179).

    TrainValidation
    Annotationstw25_train.jsontw25_val.json
    Imagestrain.zipval.zip
    Filestw25/train/*.jpgtw25/val/*.jpg
    Tiles1,478166
    Map Sheets16930
    Words13,1535,007
    Label Groups--
    Illegible Words2,719794
    Truncated Words2,544578
    Valid Words10,4344,213

    Important: All the valid characters shall fall in the following unicode range (otherwise ``illegible'' of the text instance is set to True):

    0x3400-0x4DBF, 0x4E00-0x9FFF, 0xF900-0xFAFF, 0x20000-0x2A6DF, 0x2A700-0x2EBEF

  12. Credit River Watershed Vector Tile Layer

    • cvc-camaps.opendata.arcgis.com
    • co-opendata-camaps.hub.arcgis.com
    Updated Feb 18, 2025
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    Conservation Ontario (2025). Credit River Watershed Vector Tile Layer [Dataset]. https://cvc-camaps.opendata.arcgis.com/maps/171f9ebcb2a64e61aef1a1062fddc963
    Explore at:
    Dataset updated
    Feb 18, 2025
    Dataset authored and provided by
    Conservation Ontariohttp://conservationontario.ca/
    License

    https://camaps.maps.arcgis.com/sharing/rest/content/items/9813a6fc912149e48f483b3d18f9ac8c/datahttps://camaps.maps.arcgis.com/sharing/rest/content/items/9813a6fc912149e48f483b3d18f9ac8c/data

    Area covered
    Description

    The watershed/administrative boundary was updated by merging the subwatershed boundaries. Subwatershed boundaries have been delineated using LiDAR-based ground surface elevation contour lines, LiDAR-based DEM, LiDAR-refined and Field-checked stream network, and municipal storm sewer networks.Click here for Metadata

  13. h

    SEED-Bench-2-plus

    • huggingface.co
    Updated Apr 28, 2024
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    TencentAILab-CVC (2024). SEED-Bench-2-plus [Dataset]. https://huggingface.co/datasets/AILab-CVC/SEED-Bench-2-plus
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 28, 2024
    Dataset authored and provided by
    TencentAILab-CVC
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    SEED-Bench-2-Plus Card

      Benchmark details
    

    Benchmark type: SEED-Bench-2-Plus is a large-scale benchmark to evaluate Multimodal Large Language Models (MLLMs). It consists of 2.3K multiple-choice questions with precise human annotations, spanning three broad categories: Charts, Maps, and Webs, each of which covers a wide spectrum of text-rich scenarios in the real world. Benchmark date: SEED-Bench-2-Plus was collected in April 2024. Paper or resources for more information:… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Bench-2-plus.

  14. u

    73 - Historical Reconnaissance Vegetation Inventory (RVI) Maps - Catalogue -...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Jun 24, 2025
    + more versions
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    (2025). 73 - Historical Reconnaissance Vegetation Inventory (RVI) Maps - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/ab-gda-44bed2f6-04ef-4107-922e-9372263b20c9
    Explore at:
    Dataset updated
    Jun 24, 2025
    Area covered
    Canada
    Description

    This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

  15. Rumsey Train and Validation Data for ICDAR'24 MapText Competition

    • zenodo.org
    json, zip
    Updated Jun 13, 2024
    + more versions
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    Yijun Lin; Yijun Lin; Zekun Li; Zekun Li; Yao-Yi Chiang; Yao-Yi Chiang; Jerod Weinman; Jerod Weinman (2024). Rumsey Train and Validation Data for ICDAR'24 MapText Competition [Dataset]. http://doi.org/10.5281/zenodo.11516933
    Explore at:
    json, zipAvailable download formats
    Dataset updated
    Jun 13, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Yijun Lin; Yijun Lin; Zekun Li; Zekun Li; Yao-Yi Chiang; Yao-Yi Chiang; Jerod Weinman; Jerod Weinman
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Data set of 2Kx2K image tiles cropped from maps of the David Rumsey collection for the ICDAR'24 Competition on Historical Map Text Detection, Recognition, and Linking.

    Annotations and images follow the format described at the competition website and can be evaluated using the official evaluation repository script.

    Important: v1.1 fixes an image channel order error, superseding the prior version. v1.2 corrects group links among several annotations. v1.3 strips markup that inadvertently remained in some annotation transcriptions.

    TrainValidation
    Annotationsrumsey_train.jsonrumsey_val.json
    Imagestrain.zipval.zip
    Filesrumsey/train/*.pngrumsey/val/*.png
    Tiles20040
    Map Sheets19640
    Words34,5185,544
    Label Groups21,2053,502
    Illegible Words1,870313
    Truncated Words3,582628
    Valid Words30,5634,860

    Annotations: Copyright 2024 UMN Knowledge Computing Lab, CC-BY-NC-SA 4.0 International.
    Images: David Rumsey Map Collection, David Rumsey Map Center, Stanford Libraries. CC-BY-NC-SA 3.0 Unported.

  16. Global import data of Cvc

    • volza.com
    csv
    Updated May 31, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Cvc [Dataset]. https://www.volza.com/p/cvc/import/import-in-peru/
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    2310 Global import shipment records of Cvc with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  17. IGN Test Data for ICDAR'25 MapText Competition

    • zenodo.org
    zip
    Updated Mar 1, 2025
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    Solenn Tual; Solenn Tual; Joseph Chazalon; Joseph Chazalon; Nathalie Abadie; Nathalie Abadie; Bertrand Duménieu; Bertrand Duménieu; Julien Perret; Julien Perret (2025). IGN Test Data for ICDAR'25 MapText Competition [Dataset]. http://doi.org/10.5281/zenodo.14620633
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Solenn Tual; Solenn Tual; Joseph Chazalon; Joseph Chazalon; Nathalie Abadie; Nathalie Abadie; Bertrand Duménieu; Bertrand Duménieu; Julien Perret; Julien Perret
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 9, 2025
    Description

    Data set of 2Kx2K image tiles cropped from Napoleonic Cadastre maps of the Val de Marne Archive for the ICDAR'25 Competition on Historical Map Text Detection, Recognition, and Linking.

    Annotations and images follow the format described at the competition website and can be evaluated using the official evaluation repository script.

    Test
    AnnotationsN/A
    Imagestest.zip
    Filesign25/test/*.jpg
    Tiles144
    Map Sheets77

    The allowed characters set contains the following items (words should not contain spaces, # has a special meaning which indicates an unreadable character and should not be used in predictions):
    abcdefghijklmnopqrstuvwxyzàâçéèêëîïôùûüœÿABCDEFGHIJKLMNOPQRSTUVWXYZÀÂÇÉÈÊËÎÏÔÙÛÜŒŸ0123456789'.,-+/*()&=#

    Please note that the ground truth for this dataset is kept private until further notice to enable post-competition submissions to the online platform.

    Original images available at https://archives.valdemarne.fr/recherches/archives-en-ligne/cadastre-napoleonien as of Jan., 9th 2025.

  18. a

    Road and Valley Crossings (2021)

    • cvc-camaps.opendata.arcgis.com
    Updated Oct 7, 2022
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    Conservation Ontario (2022). Road and Valley Crossings (2021) [Dataset]. https://cvc-camaps.opendata.arcgis.com/maps/road-and-valley-crossings-2021/about
    Explore at:
    Dataset updated
    Oct 7, 2022
    Dataset authored and provided by
    Conservation Ontario
    License

    https://camaps.maps.arcgis.com/sharing/rest/content/items/9813a6fc912149e48f483b3d18f9ac8c/datahttps://camaps.maps.arcgis.com/sharing/rest/content/items/9813a6fc912149e48f483b3d18f9ac8c/data

    Area covered
    Description

    Where roads cross watercourses, bridges and culverts can create barriers to fish and wildlife movement. This impacts natural heritage system connectivity and can also cause road mortality. CVC’s Road and Valley Crossings project evaluated existing bridge and culvert infrastructure. We identified priority structures for mitigation or replacement to improve fish and wildlife habitat connectivity in the Credit River Watershed. Improving connections in these areas can also reduce wildlife-vehicle collisions. This in turn improves health and safety for both people and wildlife.This shapefile was created to characterize existing conditions for fish and wildlife passage at bridges and culverts. Data for this file was collected through field inventories at bridges and culverts, primarily between 2014-2017, focusing on municipal roads. Additional sites have been added periodically, as additional data becomes available. This file also identifies priority bridges and culverts for upgrade to improve fish and wildlife passage based on an analysis completed in 2021.For more details on the project and the analysis, please see the CVC Road and Valley Crossings Data User Guide (2021) and the CVC Road and Valley Crossings Project final report (in prep).Click here for Metadata

  19. IGN Train and Validation Data for ICDAR'24 MapText Competition

    • zenodo.org
    json, zip
    Updated Apr 17, 2024
    + more versions
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    Joseph Chazalon; Joseph Chazalon; Solenn Tual; Solenn Tual; Nathalie Abadie; Nathalie Abadie; Bertrand Duménieu; Bertrand Duménieu; Julien Perret; Julien Perret; Jerod Weinman; Jerod Weinman (2024). IGN Train and Validation Data for ICDAR'24 MapText Competition [Dataset]. http://doi.org/10.5281/zenodo.10987299
    Explore at:
    json, zipAvailable download formats
    Dataset updated
    Apr 17, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Joseph Chazalon; Joseph Chazalon; Solenn Tual; Solenn Tual; Nathalie Abadie; Nathalie Abadie; Bertrand Duménieu; Bertrand Duménieu; Julien Perret; Julien Perret; Jerod Weinman; Jerod Weinman
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    Data set of 2Kx2K image tiles cropped from Napoleonic Cadastre maps of the Val de Marne Archive for the ICDAR'24 Competition on Historical Map Text Detection, Recognition, and Linking.

    Annotations and images follow the format described at the competition website and can be evaluated using the official evaluation repository script.

    TrainValidation
    Annotationsign_train.jsonign_val.json
    Imagestrain.zipval.zip
    Filesign/train/*.jpgign/val/*.jpg
    Tiles8015
    Map Sheets379
    Words8,0961,801
    Label Groups7,4491,661
    Illegible Words563217
    Truncated Words37191
    Valid Words7,5331,584

    Original images available at https://archives.valdemarne.fr/recherches/archives-en-ligne/cadastre-napoleonien as of 1 Feb. 2024.

  20. Data and codes of Indoor mapping and modeling by parsing floor plan images

    • figshare.com
    application/gzip
    Updated May 31, 2023
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    Yijie Wu (2023). Data and codes of Indoor mapping and modeling by parsing floor plan images [Dataset]. http://doi.org/10.6084/m9.figshare.12082131.v1
    Explore at:
    application/gzipAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Yijie Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    1-WID512_ROTATE.tar.gzThis package is the training and inference data of CVC-FP for Mask RCNN. Please visit https://github.com/facebookresearch/Detectron to check the training and inference guidance.5_folds_result.tar.gzThis package is results of 5-fold cross validation datasets. The results are stored as shapefiles and named after the name of floor plan images.submitted_code.7z & test_data.tar.gzThese two packages are the codes and the corresponding test data. Please unpack them and check the guidance of readme.md.

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Government of Alberta (2025). 82 - Historical Reconnaissance Vegetation Inventory (RVI) Maps [Dataset]. https://ouvert.canada.ca/data/dataset/8d3604cc-1bba-4c42-90c0-575150b4252c

82 - Historical Reconnaissance Vegetation Inventory (RVI) Maps

Explore at:
zip, html, xmlAvailable download formats
Dataset updated
May 21, 2025
Dataset provided by
Government of Alberta
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Time period covered
Jan 1, 1986 - Jan 1, 1993
Description

This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

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