Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
License:
| license: cc-by-4.0 | |
| task_categories: | |
| - visual-question-answering | |
| language: | |
| - en | |
| tags: | |
| - SpatialBench | |
| - SpatialBot | |
| - SpatialQA | |
| - Spatial Understanding | |
| - Embodied AI | |
| pretty_name: SpatialBench | |
| size_categories: | |
| - n<1K | |
| SpatialBench evaluates model performance on spatial understanding. We design positional, existence, counting, reaching and size comparasion tasks. | |
| In this HF dataset, SpatialBench RGB & Depth images, questions, answers and meta data are provided. | |
| ### Paper: | |
| https://arxiv.org/abs/2406.13642 | |
| ### GitHub repo: | |
| https://github.com/BAAI-DCAI/SpatialBot | |
| ### SpatialBot, a VLM with precise depth understanding: | |
| https://huggingface.co/RussRobin/SpatialBot | |
| <!-- ### SpatialQA, the training set of SpatialBot: | |
| https://huggingface.co/datasets/RussRobin/SpatialQA --> |