Omkar2118/datasets huggingface dataset:
ChangeIt

ChangeIt dataset with more than 2600 hours of video with state-changing actions published at CVPR 2022.

Introducing paper: Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos
SynLiDAR

SynLiDAR is a large-scale synthetic LiDAR sequential point cloud dataset with point-wise annotations. 13 sequences of LiDAR point cloud with around 20k scans (over 19 billion points and 32 semantic classes) are collected from virtual urban cities, suburban towns, neighborhood, and harbor.

Introducing paper: Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
CUHK-SYSU-TBPS

CUHK-SYSU-TBPS is a dataset for text-based person search task.

Introducing paper: Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
PRW-TBPS

PRW-TBPS is a dataset for text based person search task.

Introducing paper: Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
TimberSeg 1.0

The **TimberSeg 1.0** dataset is composed of 220 images showing wood logs in various environments and conditions in Canada. The images are densely annotated with segmentation masks for each log instance, as well as the corresponding bounding box and class label.  This dataset aim towards enabling autonomous forestry forwarders, therefore it contains nearly 2500 instances of wood logs from an operators' point-of-view. Images were taken in the forest, near the roadside, in lumberyards and above timber-filled trailers. The logs were annotated considering a grasping perspective, meaning that only the logs above the piles and accessible are segmented.

Introducing paper: Instance Segmentation for Autonomous Log Grasping in Forestry Operations