{"owner":"google-research-datasets","github":"https://github.com/google-research-datasets","claimed":false,"inventory":[],"indexed":[{"repo":"google-research-datasets/Objectron","github":"https://github.com/google-research-datasets/Objectron","description":"Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes","language":"Jupyter Notebook","stars":2348,"topics":["deep-learning","computer-vision","machine-learning","python","tensorflow","pytorch","3d-vision","3d-reconstruction","ai","3d"],"license":null,"category":"machine-learning"}],"how_to_buy":"GET /r/google-research-datasets/<repo> (Accept: application/json) for any listed repo here: tree, README, price and the checkout to pay (x402; rehearse first at its test twin, simulated money). Repos under 'indexed' are free: clone them from GitHub."}