YOLO11, the least size of dataset for Map50-95 39.5%

[Brayan532]

Hi There,
I would like to know at least how large should be the train and validation dataset (coco) to get to (Map50-95) 39.5% by YOLO11n **starting with random weights ***. Moreover, how many epoches should be considered in this setting, at least?

Best wishes.

[UltralyticsAssistant]

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[glenn-jocher]

@Brayan532 to achieve a mAP50-95 of 39.5% with YOLO11n starting from random weights, it's recommended to use a sufficiently large and well-labeled dataset, typically around 1500 images per class and 10000 instances per class. For epochs, start with 300 and adjust based on validation results. For more details, you can refer to the YOLO11 documentation.

[Y-T-G]

You can follow this.

[Brayan532]

Really appreciate!

[glenn-jocher]

@Brayan532 thank you for your kind words, but the credit goes to the YOLO community and the Ultralytics team for their dedication and efforts! Let us know if you have any further questions.