yolov8 animeface Anime Face Detection using YOLOv8 Dataset Dataset was made created with 10 000 images manually annotated from safebooru. Split was train 70, val 20, test 10. Performance This model is based on yolov8x6. It has been trained on the said dataset for 300 epoch at 1280px 1280px. It took ~110 hours to train on a RTX A4000. On my dataset, the model performs particularly well with the default parameters. While it doesn't provide a huge mAP50 95, its predictions are always correct on the files I've tested. Confidence could be higher, but the model is very precise. Confusion matrix of the model, generated on the test set PR curve of the model, generated on the test set Other metrics are available in the ./demo/val subfolder. Demo Manual annotation yolov8 animeface : : : : Comparison with an existing model While we can argue about the comparison between two models from different generations, I believe it is interesting to compare this model with zymk9's model, based on yolov5. They both have the same purpose and were trained in the same fashion. On the same dataset with the same parameters (conf=0.001 & iou=0.6), yolov8x6 animeface produces better metrics than the one on yolo…
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