Omkar2118/datasets huggingface dataset:
CCUP

a new self-annotated CC-ReID dataset named Cloth-Changing Unreal Person.

Introducing paper: CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models
BlenderGym

BlenderGym is the first comprehensive VLM system benchmark for 3D graphics editing. It evaluates VLM systems through code-based 3D reconstruction tasks. BlenderGym consists of 245 hand-crafted Blender scenes across 5 key graphics editing tasks: procedural geometry editing, lighting adjustments, procedural material design, blend shape manipulation, and object placement.

Introducing paper: BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing
TITANIC-FGS

TITANIC-FGS is the first domain knowledge-enhanced, instruction-following dataset specifically designed for the Remote Sensing Fine-Grained Ship Classification (RS-FGSC) task. It simulates human-like step-by-step decision-making to train vision-language models (VLMs) for interpretable and accurate ship classification.

Introducing paper: IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language Models