The Whole Body, Static Human Poses/Gestures Dataset showcases a diverse set of still body poses, including motions in both the upper and lower body. As opposed to the Animated Human Poses/Gestures Dataset, the diversity of poses and environments are increased more than 100x in this static dataset. This dataset is well suited for ML tasks such as pose estimation, whole body segmentation, and basic gesture recognition.

• 10k images
• 100 diverse identities spanning gender, skin tone, and age. 1024 x 1024 RGB images
• Rich set of pixel-perfect labels including segmentation maps, depth, surface normals, and 3D landmarks
• Variation of expressions from neutral to medium (as opposed to extreme)
• Variation in eye gaze spanning 35° vertically and 45° horizontally
• Diverse hairstyles, colors, and facial hair
• Diverse static poses
• Accessories: hats, glasses, headphones, and face masks
• Variation in outfits
• Variation in background over a wide range of lighting and confounding elements
• Variation in camera angles spanning 30° in all directions around the person