diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5977257e17f506c28a632640195480df4b8ad8e8 --- /dev/null +++ b/README.md @@ -0,0 +1,28 @@ +--- +license: openrail +datasets: +- deepghs/character_similarity +metrics: +- f1 +pipeline_tag: zero-shot-image-classification +tags: +- art +base_model: deepghs/ccip +--- + +| Model | F1 Score | Precision | Recall | Threshold | Cluster_2 | Cluster_Free | +|:-----------------------------------:|:----------:|:-----------:|:--------:|:-----------:|:-----------:|:--------------:| +| ccip-caformer_b36-24 | 0.940925 | 0.938254 | 0.943612 | 0.213231 | 0.89508 | 0.957017 | +| ccip-caformer-24-randaug-pruned | 0.917211 | 0.933481 | 0.901499 | 0.178475 | 0.890366 | 0.922375 | +| ccip-v2-caformer_s36-10 | 0.906422 | 0.932779 | 0.881513 | 0.207757 | 0.874592 | 0.89241 | +| ccip-caformer-6-randaug-pruned_fp32 | 0.878403 | 0.893648 | 0.863669 | 0.195122 | 0.810176 | 0.897904 | +| ccip-caformer-5_fp32 | 0.864363 | 0.90155 | 0.830121 | 0.183973 | 0.792051 | 0.862289 | +| ccip-caformer-4_fp32 | 0.844967 | 0.870553 | 0.820842 | 0.18367 | 0.795565 | 0.868133 | +| ccip-caformer_query-12 | 0.823928 | 0.871122 | 0.781585 | 0.141308 | 0.787237 | 0.809426 | +| ccip-caformer-23_randaug_fp32 | 0.81625 | 0.854134 | 0.781585 | 0.136797 | 0.745697 | 0.8068 | +| ccip-caformer-2-randaug-pruned_fp32 | 0.78561 | 0.800148 | 0.771592 | 0.171053 | 0.686617 | 0.728195 | +| ccip-caformer-2_fp32 | 0.755125 | 0.790172 | 0.723055 | 0.141275 | 0.64977 | 0.718516 | + +* The calculation of `F1 Score`, `Precision`, and `Recall` considers "the characters in both images are the same" as a positive case. `Threshold` is determined by finding the maximum value on the F1 Score curve. +* `Cluster_2` represents the approximate optimal clustering solution obtained by tuning the eps value in DBSCAN clustering algorithm with min_samples set to `2`, and evaluating the similarity between the obtained clusters and the true distribution using the `random_adjust_score`. +* `Cluster_Free` represents the approximate optimal solution obtained by tuning the `max_eps` and `min_samples` values in the OPTICS clustering algorithm, and evaluating the similarity between the obtained clusters and the true distribution using the `random_adjust_score`. \ No newline at end of file diff --git a/ccip-caformer-2-randaug-pruned_fp32/cluster.json b/ccip-caformer-2-randaug-pruned_fp32/cluster.json new file mode 100644 index 0000000000000000000000000000000000000000..fef6b41306d2b99126b0bda01e906515c0c0795d --- /dev/null +++ b/ccip-caformer-2-randaug-pruned_fp32/cluster.json @@ -0,0 +1,17 @@ +{ + "dbscan_2": { + "eps": 0.11861107594006831, + "min_samples": 2, + "score": 0.6866166684060175 + }, + "dbscan_free": { + "eps": 0.11879407499128164, + "min_samples": 2, + "score": 0.6866166684060175 + }, + "optics": { + "eps": 0.1678928389459416, + "min_samples": 4, + "score": 0.7281948149424277 + } +} \ No newline at end of file diff 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