Fuyucchi/yolov8_animeface
object-detection model by Fuyucchi
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Model card & documentation
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Anime Face Detection using YOLOv8 Dataset was made created with 10 000 images manually annotated from safebooru. Split was train 70, val 20, test 10. This model is based on yolov8x6. It has been trained on the said dataset for 300 epoch at 1280px1280px. 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. Manual annotation | yolov8animeface :-------------------------:|:-------------------------: 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…
Read the full model card ↗ · Preview checked 2026-10-28T02:30:49.498Z
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Model overview
Fuyucchi/yolov8_animeface is a object-detection model repository published by Fuyucchi on Hugging Face. The source reports the ultralytics library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- object-detection
- Library
- ultralytics
- Recent downloads (30 days)
- 28,321
- Cumulative likes
- 20
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- agpl-3.0
- Access
- Not gated by Hugging Face
- Created
- 2024-10-14T07:24:38.000Z
- Last modified
- 2024-10-14T07:59:15.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Ultralytics/YOLOv8
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:34.007Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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