117 images

Chess Sample Computer Vision Project

san jose state university

Updated 3 years ago

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Metrics

mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more

mAP

93.8%

Precision measures how often your model's predictions are correct. Learn more

Precision

92.8%

Recall measures what percentage of relevant labels were successfully identified. Learn more

Recall

84.8%

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LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        
        highlighted
        
            
        
     
@misc{
                            chess-sample-dsuan_dataset,
                            title = { Chess Sample Dataset },
                            type = { Open Source Dataset },
                            author = { san jose state university },
                            howpublished = { \url{ https://universe.roboflow.com/san-jose-state-university-uxz7b/chess-sample-dsuan } },
                            url = { https://universe.roboflow.com/san-jose-state-university-uxz7b/chess-sample-dsuan },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2025-03-24 },
                            }