7 datasets found
  1. P

    300W Dataset

    • paperswithcode.com
    • opendatalab.com
    • +1more
    Updated Jan 24, 2021
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    Christos Sagonas; Georgios Tzimiropoulos; Stefanos Zafeiriou; Maja Pantic (2021). 300W Dataset [Dataset]. https://paperswithcode.com/dataset/300w
    Explore at:
    Dataset updated
    Jan 24, 2021
    Authors
    Christos Sagonas; Georgios Tzimiropoulos; Stefanos Zafeiriou; Maja Pantic
    Description

    The 300-W is a face dataset that consists of 300 Indoor and 300 Outdoor in-the-wild images. It covers a large variation of identity, expression, illumination conditions, pose, occlusion and face size. The images were downloaded from google.com by making queries such as “party”, “conference”, “protests”, “football” and “celebrities”. Compared to the rest of in-the-wild datasets, the 300-W database contains a larger percentage of partially-occluded images and covers more expressions than the common “neutral” or “smile”, such as “surprise” or “scream”. Images were annotated with the 68-point mark-up using a semi-automatic methodology. The images of the database were carefully selected so that they represent a characteristic sample of challenging but natural face instances under totally unconstrained conditions. Thus, methods that achieve accurate performance on the 300-W database can demonstrate the same accuracy in most realistic cases. Many images of the database contain more than one annotated faces (293 images with 1 face, 53 images with 2 faces and 53 images with [3, 7] faces). Consequently, the database consists of 600 annotated face instances, but 399 unique images. Finally, there is a large variety of face sizes. Specifically, 49.3% of the faces have size in the range [48.6k, 2.0M] and the overall mean size is 85k (about 292 × 292) pixels.

  2. b

    BUG wing FEM models - Datasets - data.bris

    • data.bris.ac.uk
    Updated Apr 6, 2018
    + more versions
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    (2018). BUG wing FEM models - Datasets - data.bris [Dataset]. https://data.bris.ac.uk/data/dataset/q7lzoe14eefm2webtacs182d8
    Explore at:
    Dataset updated
    Apr 6, 2018
    Description

    Agile Wing Integration is an Innovate UK funded project investigating design and optimisation of novel aircraft wing structures and configurations.

  3. R

    Disease And Bug Dataset

    • universe.roboflow.com
    zip
    Updated Jun 5, 2024
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    asd (2024). Disease And Bug Dataset [Dataset]. https://universe.roboflow.com/asd-dttm1/disease-and-bug
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    zipAvailable download formats
    Dataset updated
    Jun 5, 2024
    Dataset authored and provided by
    asd
    License

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

    Variables measured
    Plant VQpp Bounding Boxes
    Description

    Disease And Bug

    ## Overview
    
    Disease And Bug is a dataset for object detection tasks - it contains Plant VQpp annotations for 1,016 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  4. R

    Bug Finder Dataset

    • universe.roboflow.com
    zip
    Updated Nov 11, 2024
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    wow (2024). Bug Finder Dataset [Dataset]. https://universe.roboflow.com/wow-3w2it/bug-finder-c7nop/dataset/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    wow
    License

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

    Variables measured
    Whitefly Bounding Boxes
    Description

    Bug Finder

    ## Overview
    
    Bug Finder is a dataset for object detection tasks - it contains Whitefly annotations for 409 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  5. R

    Bug Dataset

    • universe.roboflow.com
    zip
    Updated Feb 4, 2022
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    이민솔 (2022). Bug Dataset [Dataset]. https://universe.roboflow.com/-dhopl/bug-oeouv/dataset/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 4, 2022
    Dataset authored and provided by
    이민솔
    License

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

    Variables measured
    Asdfg Bounding Boxes
    Description

    Bug

    ## Overview
    
    Bug is a dataset for object detection tasks - it contains Asdfg annotations for 250 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  6. R

    Bug Image Dataset

    • universe.roboflow.com
    zip
    Updated Feb 20, 2025
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    bug detecting image (2025). Bug Image Dataset [Dataset]. https://universe.roboflow.com/bug-detecting-image/bug-image/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    bug detecting image
    License

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

    Variables measured
    Snail Larva Aphid Bounding Boxes
    Description

    Bug Image

    ## Overview
    
    Bug Image is a dataset for object detection tasks - it contains Snail Larva Aphid annotations for 633 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  7. R

    Bug Bash Blitz Dataset

    • universe.roboflow.com
    zip
    Updated Feb 28, 2024
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    Rana Ali Haider (2024). Bug Bash Blitz Dataset [Dataset]. https://universe.roboflow.com/rana-ali-haider-hqz5m/bug-bash-blitz/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 28, 2024
    Dataset authored and provided by
    Rana Ali Haider
    License

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

    Variables measured
    Boll Detection Bounding Boxes
    Description

    Bug Bash Blitz

    ## Overview
    
    Bug Bash Blitz is a dataset for object detection tasks - it contains Boll Detection annotations for 314 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
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Christos Sagonas; Georgios Tzimiropoulos; Stefanos Zafeiriou; Maja Pantic (2021). 300W Dataset [Dataset]. https://paperswithcode.com/dataset/300w

300W Dataset

300 Faces-In-The-Wild

Explore at:
Dataset updated
Jan 24, 2021
Authors
Christos Sagonas; Georgios Tzimiropoulos; Stefanos Zafeiriou; Maja Pantic
Description

The 300-W is a face dataset that consists of 300 Indoor and 300 Outdoor in-the-wild images. It covers a large variation of identity, expression, illumination conditions, pose, occlusion and face size. The images were downloaded from google.com by making queries such as “party”, “conference”, “protests”, “football” and “celebrities”. Compared to the rest of in-the-wild datasets, the 300-W database contains a larger percentage of partially-occluded images and covers more expressions than the common “neutral” or “smile”, such as “surprise” or “scream”. Images were annotated with the 68-point mark-up using a semi-automatic methodology. The images of the database were carefully selected so that they represent a characteristic sample of challenging but natural face instances under totally unconstrained conditions. Thus, methods that achieve accurate performance on the 300-W database can demonstrate the same accuracy in most realistic cases. Many images of the database contain more than one annotated faces (293 images with 1 face, 53 images with 2 faces and 53 images with [3, 7] faces). Consequently, the database consists of 600 annotated face instances, but 399 unique images. Finally, there is a large variety of face sizes. Specifically, 49.3% of the faces have size in the range [48.6k, 2.0M] and the overall mean size is 85k (about 292 × 292) pixels.

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