3D Segmentation HQ Dataset
The 3D Segmentation HQ dataset is a curated collection of 5 real-world scenes with high-quality object segmentation masks designed for research in 3D scene understanding, editing, and rendering.
This dataset improves upon existing benchmarks by providing cleaner and more consistent object masks across multiple views, enabling reliable evaluation and training for tasks such as:
3D semantic segmentation
Object-level scene editing (e.g., removal, recolorization)
3D… See the full description on the dataset page:
https://huggingface.co/datasets/joshir/3D-Scene-Segmentation-HQ.
