Saved datasets
Last updated
Download format
Usage rights
License from data provider
Please review the applicable license to make sure your contemplated use is permitted.
Topic
Free
Cost to access
Described as free to access or have a license that allows redistribution.
100+ datasets found
  1. m

    A Database of Leaf Images: Practice towards Plant Conservation with Plant...

    • data.mendeley.com
    Updated Jun 6, 2019
  2. z

    Maize whole plant image dataset

    • zenodo.org
    • figshare.com
    Updated Oct 5, 2017
  3. Plant semantic segmentation

    • kaggle.com
    zip
    Updated Apr 28, 2021
  4. f

    Power Plant Satellite Imagery Dataset

    • figshare.com
    pdf
    Updated Aug 16, 2017
  5. m

    Data from: A Citrus Fruits and Leaves Dataset for Detection and...

    • data.mendeley.com
    Updated May 28, 2019
  6. PlantVillage Disease Classification Challenge - Color Images

    • zenodo.org
    • figshare.com
    7z
    Updated Mar 21, 2018
  7. d

    Lunar Plants

    • data.world
    • catalog.data.gov
    csv, zip
    Updated Feb 15, 2021
  8. R

    PlantDoc Object Detection Dataset

    • public.roboflow.com
    zip
    Updated Mar 2, 2020
  9. Plant segmentation

    • www.kaggle.com
    zip
    Updated May 27, 2019
  10. m

    Dataset of Tomato Leaves

    • data.mendeley.com
    Updated May 27, 2020
  11. P

    Plant Seedlings Dataset Dataset

    • paperswithcode.com
    Updated Feb 12, 2021
  12. i

    Leaves: India’s Most Famous Basil Plant Leaves Quality Dataset

    • ieee-dataport.org
    Updated Dec 22, 2020
  13. r

    Australian Plant Image Index

    • researchdata.edu.au
    Updated Oct 21, 2020
  14. AI validated plant observations from social media: Flickr images from...

    • zenodo.org
    • figshare.com
    • +1more
    csv, txt
    Updated Oct 21, 2019
  15. E

    Estimation of Abundance and Distribution of Salt Marsh Plants from Images...

    • portal.edirepository.org
    • search.dataone.org
    Updated Aug 28, 2020
  16. m

    Tomato leaf image dataset

    • data.mendeley.com
    • www.narcis.nl
    • +1more
    Updated Jan 31, 2020
  17. Aberystwyth Leaf Evaluation Dataset

    • zenodo.org
    • explore.openaire.eu
    • +1more
    pdf, zip
    Updated Nov 23, 2016
  18. Naturalized Plants in Japan ~Seed-Image database~

    • integbio.jp
    Updated Jun 17, 2013
  19. m

    BRACOL - A Brazilian Arabica Coffee Leaf images dataset to identification...

    • data.mendeley.com
    • mendeley.figshare.com
    • +1more
    Updated Nov 6, 2019
  20. i

    Aerial Imagery of PV Plants for boundary detection

    • ieee-dataport.org
    Updated May 30, 2020
Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Siddharth Singh CHOUHAN (2019). A Database of Leaf Images: Practice towards Plant Conservation with Plant Pathology [Dataset]. http://doi.org/10.17632/hb74ynkjcn.1

A Database of Leaf Images: Practice towards Plant Conservation with Plant Pathology

3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated Jun 6, 2019
Dataset provided by
Mendeley Data
Authors
Siddharth Singh CHOUHAN
License

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

Description

The relationship between the plants and the environment is multitudinous and complex. They help in nourishing the atmosphere with diverse elements. Plants are also a substantial element in regulating carbon emission and climate change. But in the past, we have destroyed them without hesitation. For the reason that not only we have lost a number of species located in them, but also a severe result has also been encountered in the form of climate change. However, if we choose to give them time and space, plants have an astonishing ability to recover and re-cloth the earth with varied plant and species that we have, so recently, stormed. Therefore, a contribution has been made in this work towards the study of plant leaf for their identification, detection, disease diagnosis, etc. Twelve economically and environmentally beneficial plants named as Mango, Arjun, Alstonia Scholaris, Guava, Bael, Jamun, Jatropha, Pongamia Pinnata, Basil, Pomegranate, Lemon, and Chinar have been selected for this purpose. Leaf images of these plants in healthy and diseased condition have been acquired and alienated among two separate modules.

Principally, the complete set of images have been classified among two classes i.e. healthy and diseased. First, the acquired images are classified and labeled conferring to the plants. The plants were named ranging from P0 to P11. Then the entire dataset has been divided among 22 subject categories ranging from 0000 to 0022. The classes labeled with 0000 to 0011 were marked as a healthy class and ranging from 0012 to 0022 were labeled diseased class. We have collected about 4503 images of which contains 2278 images of healthy leaf and 2225 images of the diseased leaf. All the leaf images were collected from the Shri Mata Vaishno Devi University, Katra. This process has been carried out form the month of March to May in the year 2019. The images are captured in a closed environment. This acquisition process was completely wi-fi enabled. All the images are captured using a Nikon D5300 camera inbuilt with performance timing for shooting JPEG in single shot mode (seconds/frame, max resolution) = 0.58 and for RAW+JPEG = 0.63. The images were in .jpg format captured with 18-55mm lens with sRGB color representation, 24-bit depth, 2 resolution unit, 1000-ISO, and no flash.

Further, we hope that this study can be beneficial for researchers and academicians in developing methods for plant identification, plant classification, plant growth monitoring, leave disease diagnosis, etc. Finally, the anticipated impression is towards a better understanding of the plants to be planted and their suitable management.

Search
Clear search
Close search
Google apps
Main menu