8 datasets found

ShapeNet Parts is a dataset for part segmentation of 3D shapes.

The ShapeNet part dataset contains 16,881 shapes from 16 classes and 50 parts in total.

The PartNet dataset is a large-scale benchmark for 3D object recognition and retrieval. It consists of 527 objects composed of 2690 parts, which can be composited into a...

PartImageNet and Pascal Part datasets for few-shot part segmentation.

Few-shot part segmentation using few-shot support images and pre-trained image-language model CLIP.

PASCAL-Part is a dataset for semantic part segmentation. It contains images of cars and horses with annotated part segmentation masks.

Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen...

The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.