Datasets:
metadata
license: apache-2.0
configs:
- config_name: default
data_files:
- split: test
path: GroundingSuite-Eval.jsonl
task_categories:
- image-segmentation
π GSEval - A Comprehensive Grounding Evaluation Benchmark
GSEval is a meticulously curated evaluation benchmark consisting of 3,800 images, designed to assess the performance of pixel-level and bounding box-level grounding models. It evaluates how well AI systems can understand and localize objects or regions in images based on natural language descriptions.
π Download GSEval
git lfs install
git clone https://huggingface.co/datasets/hustvl/GSEval
π Additional Resources
- Paper: ArXiv
- GitHub Repository: GitHub - GroundingSuite