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Agonistic Rabbit Action Detection/Classification

<p>Sample data for rabbit doe behavior analysis in group housing.</p> <p>&#39;Raw Video Files&#39; contains 6 hours of continuous video from Camera 1 (6 video files spearated 1h each).&nbsp;</p> <p>&#39;Action Clips&#39; contains segmented agonistic action clips from the raw video files (Camera 1, 6hours only).</p> <p>&#39;COCO Annotations - Rabbits&#39; contains images and the COCO format annotations used to train&nbsp;Keypoint RCNN model.</p> <p>&#39;Model Weights&#39; contains final ANN model weights for both&nbsp;Keypoint RCNN model and Resnet50 (re-identification) model.</p> <p>&#39;Camera 1 - 6h - Agonistic Behaviors&#39; contains agonistic action detections for 6 hours in Camera 1.&nbsp;&nbsp;</p> <p>&#39;<a href="https://zenodo.org/api/files/7ea85db4-619e-4e69-8c12-e08b53c3ee84/Tracker_Cam_11_Action_18.mp4">Tracker_Cam_11_Action_18.mp4</a>&#39; is a random sample of tracked group-housed rabbits.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Topics

Dataset details

Repository
zenodo
Published
October 24, 2022
License
cc-by-4.0
DOI
10.5281/zenodo.7248028

Scored with release 0.9.0

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