Open X-Embodiment
1M+ real-robot trajectories from 20+ institutions.
NOTE: I have recaptioned all images here This dataset is the entire 21K ImageNet dataset with about 13 million examples and about 19 thousand classes…
NOTE: I have recaptioned all images here This dataset is the entire 21K ImageNet dataset with about 13 million examples and about 19 thousand classes as strings (for some reason it only had ~19K classes instead of 21K). The images are in PNG format. They can be decoded like in the following example import io from PIL import Image Image.open(io.BytesIO(row “image” )) where row “image” are the raw image bytes.
Source: Hugging Face Hub (gmongaras/Imagenet21K). Metadata imported from the dataset’s Hub tags.