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Datasets:
lidingm
/
ViewSpatial-Bench

Tasks:
Visual Question Answering
Modalities:
Image
Text
Formats:
json
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
spatial-reasoning
cross-viewpoint localization
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
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@@ -68,7 +68,7 @@ cd ViewSpatial-Bench
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  pip install -r requirements.txt
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  # Run evaluation
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- python evaluate.py --model_name your_model
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  ```
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  You can configure the appropriate model parameters and evaluation settings according to the framework's requirements to obtain performance evaluation results on the ViewSpatial-Bench dataset.
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  pip install -r requirements.txt
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  # Run evaluation
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+ python evaluate.py --model_path your_model_path
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  ```
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  You can configure the appropriate model parameters and evaluation settings according to the framework's requirements to obtain performance evaluation results on the ViewSpatial-Bench dataset.
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