100 datasets found

The UT-Zap50K dataset is a dataset of images of shoes.

A dataset of video sequences from [6].

We use the YouTube-Objects dataset for video object segmentation.

A dataset of 50 animal species with 85 attribute annotations, used for AWA2 dataset.

A dataset of 14,340 images with 102 attributes, used for SUN Attribute (SUN) dataset.

A dataset of 11,788 images of 200 bird species, used for Caltech-UCSD Birds-200-2011 (CUB) dataset.

A dataset of 15,339 images with 64 attributes, used for Attribute Pascal and Yahoo (APY) dataset.

The Taskonomy dataset contains 16 types of annotation, including object classification, scene classification, depth estimation, surface normals, curvature estimation, edge...

CLOW is a dataset collected via a mixed-reality interactive approach for continual learning about objects in the wild.

PascalVOC 2007 dataset consists of 5011 training image-text pairs and 4952 test image-text pairs corresponding to 20 different object categories.

The multi-view multi-class dataset contains 23 minutes and 57 seconds of synchronized frames taken at 25fps from 6 different calibrated DV cameras.

A dataset of 3D objects with varying sizes and orientations.

A spectral dataset of size 256 × 256 × 16 (16 wavelengths between 510 − 660 nm with 10 nm interval) taken from online spectral database referred as Objects.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a visual recognition task.

Google Scanned Objects and ABO datasets for 3D object understanding

Scanned objects dataset

The OakInk dataset is a large dataset for understanding hand-object interaction.

The DGCNN dataset is a 3D point cloud dataset used for object recognition and scene understanding.

The TSS dataset is a benchmark dataset for object recognition. It consists of 400 image pairs from 3 object categories.

A dataset for object recognition and manipulation