Gilt Posture Recognition Dataset Each RGB image has a matching depth image (same filename, .png extension). YOLO format label files correspond to each image. 🐷 Annotated Postures Five postures are labeled using YOLO bounding boxes: Class Name Class ID feeding 0 lateral lying 1 sitting 2 standing 3 sternal lying 4 📊 Class Distribution Below is a histogram showing the distribution of posture classes across the dataset: Dataset Description The total dataset is split randomly into training, validation, and testing sets (0.75:0.15:0.1). The filename of each image and corresponding labels are assigned with date and time of image captured prefixed by pen and camera identity (p1c1 20250108 080409.png == image of pen1 camera1 captured on January 08, 2025 at 08:04:09 o'clock) The Color folder contains the color images and corresponding labels. Depth folder contains the height information of scene from the floor in mm unit and saved as uint16 format. RGBD folder contains the combined pairs of color and depth images. The normalized height information is added as 4th channel (RGBA). Each folder contains a labels folder for the corresponding labeling information 🧠 Use Cases Animal behavior mo…
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