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A camera trap dataset created as a subset of the Wildlife Conservation Society (WCS) camera trap dataset, af featured on: https://lila.science/datasets/wcscameratraps.
The subset contains 10,000 images split into a training set of 2,000 images and a validation set of 6,000 images of 10 species of animal, namely dasyprocta punctata, pecari tajacu, leopardus pardalis, mitu tuberosum, loxodonta africana, aepyceros melampus, equus quagga, madoqua guentheri, unknown bird, and crax rubra, featuring a 2,000 image strong test split. This dataset was used for benchmarking YOLOv8 vs YOLOv9 in extremely data-sparse conditions.
Note that the labels are in YOLO format, meaning the label fiels can be read as: class index, x_center, y_center, width, height.
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