2.4k images

CSGO videogame Computer Vision Project

Roboflow 100

Updated 2 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

97.2%

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

Precision

97.8%

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

Recall

96.1%

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Description

This dataset was originally created by Richard. To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/new-workspace-rp0z0/csgo-train-yolo-v5.

This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.

Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark

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Cite This Project

LICENSE

CC BY 4.0

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

                        
        highlighted
        
            
        
     
@misc{
                            csgo-videogame_dataset,
                            title = { CSGO videogame Dataset },
                            type = { Open Source Dataset },
                            author = { Roboflow 100 },
                            howpublished = { \url{ https://universe.roboflow.com/roboflow-100/csgo-videogame } },
                            url = { https://universe.roboflow.com/roboflow-100/csgo-videogame },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2025-03-29 },
                            }