Anime Classifier swinv2_base_window8_256.dbv4a-fullxx-cls
Model Details
- Model Type: Single-Label Image classification / feature backbone
- Model Stats:
- Params: 96.6M
- FLOPs / MACs: 121.6G / 60.7G
- Image size: train = 448 x 448, test = 448 x 448
- Dataset: deepghs/danbooru-wdtagger-v4a-w640-ws-fullxx-cls
- Labels Count: 9453
Results
# | Top-1 | Top-5 | Macro (F1/P/R) | Micro (F1/P/R) |
---|---|---|---|---|
Validation | 90.49% | 95.44% | 0.881 / 0.901 / 0.885 | 0.905 / 0.905 / 0.905 |
Test | 90.36% | 95.34% | 0.880 / 0.901 / 0.884 | 0.904 / 0.904 / 0.904 |
You can find label list in selected_tags.csv.
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