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ETH Pedestrian Detection Dataset
Date
3 years ago
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ETH, short for Eidgenössische Technische Hochschule Zürich, is an image dataset for pedestrian detection. The images were taken by an AVT Marlins F033C mounted on a car, with a resolution of 640×480 (bayered) and a frame rate of 13-14 FPS. The test set of the dataset contains 1,804 images from three video clips. The dataset can be used for a large number of computer vision tasks.
This dataset is contributed by community users and is intended for educational and informational purposes only. If any content involves copyright infringement, please contact us at support@hyper.ai for prompt review and removal.
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