Datasets:
Tasks:
Image Classification
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
ArXiv:
DOI:
License:
Some formatting fixes and data collection ref clarification
#6
by
egrace479
- opened
README.md
CHANGED
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license: cc0-1.0
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language:
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- en
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pretty_name:
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task_categories:
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tags:
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- biology
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- image
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- CV
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- drone
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- zebra
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- giraffe
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- Grevy's
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size_categories: 10K<n<100K
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description:
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configs:
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---
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<!-- Provide a quick summary of what the dataset is or can be used for. -->
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## Dataset Details
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This dataset contains annotated video frames of giraffes, Grevy's zebras, Persian onagers, and African Painted Dogs, collected at [The Wilds](https://www.thewilds.org/) in Ohio. The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery.
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### Dataset Description
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## Dataset Structure
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```
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/dataset/
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-
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session_1/
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partition_1/
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DJI_0034_000000.jpg
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P0070007/
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P0070007_000000.jpg
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P0070007_000000.txt
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-
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P0080008/
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-
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P0090009/
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-
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P0100010/
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-
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P0110011/
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-
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P0120012/
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-
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P0160016/
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session_4/
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```
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### Data Instances
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All images are
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### Data Fields
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- `width`: Width of the bounding box (normalized to [0, 1])
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- `height`: Height of the bounding box (normalized to [0, 1])
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-
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Give your train-test splits for benchmarking; could be as simple as "split is indicated by the `split` column in the metadata file: `train`, `val`, or `test`." Or perhaps this is just the training dataset and other datasets were used for testing (you may indicate which were used).
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-->
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## Dataset Creation
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This is what _you_ did to it following collection from the original source; it will be overall processing if you collected the data initially.
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-->
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The African Painted Dog missions were collected manually using a [DJI Mavic Mini drone](https://www.dji.com/support/product/mavic-mini), while the Giraffe, Persian Onanger, and Grevy's Zebra missions were collected using a [Parrot Anafi drone](https://www.parrot.com/us/drones/anafi). The Grevy's zebras and giraffe missions were conducted semi-autonomously using the [WildWing system](https://imageomics.github.io/wildwing/), while the Persian onager data was collected manually. The drones were flown over the Wilds Conservation Center in Ohio, capturing video footage of the animals in their natural habitat.
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The videos were annotated manually using the Computer Vision Annotation Tool ([CVAT](https://www.cvat.ai/)) and the [kabr-tools](https://github.com/Imageomics/kabr-tools) library. These detection annotations and original video files were then processed to extract individual frames, which were saved as JPEG images. The annotations were converted to YOLO format, with bounding boxes indicating the presence of zebras in each frame.
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## Licensing Information
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This dataset is dedicated to the public domain for the benefit of scientific pursuits. We ask that you cite the dataset and journal paper using the below citations if you make use of it in your research.
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## Citation
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}
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```
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If you use this dataset, please cite the [WildWing video dataset](https://huggingface.co/datasets/imageomics/wildwingdeployment) used to generate data for sessions 2-4.
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**Related Papers**
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```
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license: cc0-1.0
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language:
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- en
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pretty_name: MMLA The Wilds
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task_categories:
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- image-classification
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tags:
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- biology
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- image
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- CV
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- drone
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- zebra
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- African Painted Dog
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- Persian Onanger
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- giraffe
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- Grevy's
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size_categories: 10K<n<100K
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description: >-
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Annotated video frames of giraffes, Grevy's zebras, Persian onagers, and
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African Painted Dogs collected at The Wilds in Ohio. This dataset is intended
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for use in training and evaluating computer vision models for animal detection
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and classification from drone imagery. It includes frames from various
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sessions, with annotations indicating the presence of animals in the images in
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YOLO format, and is designed to facilitate research in wildlife monitoring and
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conservation using autonomous drones.
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configs:
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- config_name: African-painted-dogs
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data_files: session_1/*/*.jpg
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- config_name: Persion-onangers
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data_files: session_2/*/*.jpg
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- config_name: Giraffes
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data_files: session_3/*/*.jpg
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- config_name: Grevys-zebras
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data_files: session_4/*/*.jpg
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---
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<!-- Provide a quick summary of what the dataset is or can be used for. -->
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## Dataset Details
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This dataset contains annotated video frames of giraffes, Grevy's zebras, Persian onagers, and African Painted Dogs, collected at [The Wilds](https://www.thewilds.org/) in Ohio. The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. It includes frames from various sessions, with annotations indicating the presence of animals in the images in YOLO format, and is designed to facilitate research in wildlife monitoring and conservation using autonomous drones.
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### Dataset Description
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## Dataset Structure
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```
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/dataset/
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classes.txt
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session_1/
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partition_1/
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DJI_0034_000000.jpg
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P0070007/
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P0070007_000000.jpg
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P0070007_000000.txt
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...
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P0080008/
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...
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P0090009/
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...
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P0100010/
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...
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P0110011/
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...
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P0120012/
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...
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P0160016/
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...
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P0160016_000598.txt
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session_4/
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P0070010/
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P0070010_000000.jpg
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P0070010_000000.txt
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...
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P0070010_000505.txt
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```
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### Data Instances
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All images are named `<video_id>_<frame_number>.jpg`, under the particular session and full video to which they belong; these can be matched to dates based on the table above. The annotations are in YOLO format and are stored in a corresponding `.txt` file with the same name as the image.
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### Data Fields
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- `width`: Width of the bounding box (normalized to [0, 1])
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- `height`: Height of the bounding box (normalized to [0, 1])
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### Data Splits
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This dataset was used in conjunction with the other two [MMLA datasets](https://huggingface.co/collections/imageomics/mmla) for both training and testing the [MMLA YOLO model](https://huggingface.co/imageomics/mmla#training-details).
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## Dataset Creation
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This is what _you_ did to it following collection from the original source; it will be overall processing if you collected the data initially.
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-->
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+
The African Painted Dog missions were collected manually using a [DJI Mavic Mini drone](https://www.dji.com/support/product/mavic-mini), while the Giraffe, Persian Onanger, and Grevy's Zebra missions were collected using a [Parrot Anafi drone](https://www.parrot.com/us/drones/anafi). The Grevy's zebras and giraffe missions were conducted semi-autonomously using the [WildWing system](https://imageomics.github.io/wildwing/), while the Persian onager data was collected manually. The drones were flown over the [Wilds Conservation Center](https://www.thewilds.org/) in Ohio, capturing video footage of the animals in their natural habitat.
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The videos were annotated manually using the Computer Vision Annotation Tool ([CVAT](https://www.cvat.ai/)) and the [kabr-tools](https://github.com/Imageomics/kabr-tools) library. These detection annotations and original video files were then processed to extract individual frames, which were saved as JPEG images. The annotations were converted to YOLO format, with bounding boxes indicating the presence of zebras in each frame.
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## Licensing Information
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This dataset is dedicated to the public domain (by applying the [CC0-1.0 Public Domain Waiver](https://creativecommons.org/publicdomain/zero/1.0/)) for the benefit of scientific pursuits. We ask that you cite the dataset and journal paper using the below citations if you make use of it in your research.
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## Citation
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}
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```
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If you use this dataset, please also cite the [WildWing video dataset](https://huggingface.co/datasets/imageomics/wildwingdeployment) used to generate data for sessions 2-4.
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**Related Papers**
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```
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