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Sharks and rays swimming in a large public aquarium

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DataONE2024-02-13 更新2024-06-08 收录
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Large Public Aquaria are complex ecosystems that require constant monitoring to detect and correct anomalies that may affect the habitat and their species. Many of those anomalies can be directly or indirectly spotted by monitoring the behavior of fish. This can be a quite laborious task to be done by biologists alone. Automated fish tracking methods, specially of the non-intrusive type, can help biologists in the timely detection of such events. These systems require annotated data of fish to be trained. We used footage collected from the main aquarium of Oceanário de Lisboa to create a novel dataset with fish annotations from the shark and ray species. The dataset has the following characteristics: 66 shark training tracks with a total of 15812 bounding boxes 88 shark testing tracks with a total of 15978 bounding boxes 133 ray training tracks with a total of 28168 bounding boxes 192 ray testing tracks with a total of 31529 bounding boxes The training set corresponds to a calm enviro..., The dataset was collected using a stationary camera positioned outside the main tank of Oceanário de Lisboa aiming at the fish. Additionally, this data was processed using the CVAT annotation tool to create the sharks and rays annotations., , # Sharks and rays swimming in a large public aquarium Each set has 2 folders: gt and img1. The gt folder contains 3 txt files: gt, gt_out and labels. The gt and gt_out files contain the bounding box annotations sorted in two distinct ways. The former has the annotations sorted by frame number, while the latter is sorted by the track ID. Each line of the ground truth files represents one bounding box of a fish trajectory. The bounding boxes are represented with the following format: frame id, track id, x, y, w, h, not ignored, class id, visibility. The folder img1 contains all the annotated frames. ## Description of the bounding boxes variables: frame id points to the frame where the bounding box was obtained; track id identifies the track of a fish with which the bonding box is associated; x and y are the pixel coordinates of the top left corner of the bounding box; w and h are the width and height of the bounding box respectively. These variables are measured in terms of pixels o...
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2025-07-27
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