Open X-Embodiment
1M+ real-robot trajectories from 20+ institutions.
FAIR1M The FAIR1M dataset is a fine-grained object recognition and detection dataset that focuses on high-resolution (0.3-0.8m) RGB images taken by the Gaogen (GF) satellites and extracted from Google Earth. It consists of a collection of 15,000 high-resolution images that cover various objects and scenes. The dataset provides annotations in the form of rotated bounding boxes for objects belonging to 5 main categories (ships, vehicles, airplanes, courts, and roads), further… See the full description on the dataset page:
Source: Hugging Face Hub (adiui/FAIR1M). Metadata imported from the dataset’s Hub tags.