KAIST Pedestrian Detection Dataset
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3 years ago
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The KAIST dataset consists of 95,328 images, each of which contains two versions: RGB color image and infrared image. The dataset contains 103,128 dense annotations. The dataset captures various regular traffic scenes including campus, streets, and countryside during the day and night. The image size is 640×480. The training set contains 50,187 images and the test set contains 45,141 images.
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