Datasets:
Tasks:
Image Classification
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
ArXiv:
DOI:
License:
Update README.md
Browse filesadding wildwing link
README.md
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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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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, 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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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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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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