Image Classification on 12 Fine-Grained Datasets Suite benchmark leaderboard · SOTA2 Research

Image Classification on 12 Fine-Grained Datasets Suite

83.4Accuracy (Food-101)Scala-B

Evaluation Results

Method	Links
Scala-B2024.12		83.4	97.3	86.6	69.7	74.3	63	87.6	78	94.6	95.1	97.3	84.1	84.2
Scala-B2024.12		78.6	95.5	81.9	65.9	64.4	55.2	86.1	74.9	94	93.9	96	81.1	80.6
DeiT-B2024.12		76.9	95.6	81.1	63	57.1	49.1	83	70.3	92.8	90.7	90.7	72.8	77
Scala-B2024.12		72.8	93.6	78.1	61.4	55.4	49.6	84.2	72.1	92.9	92.1	93.4	76.7	76.8
DeiT-S2024.12		72.1	94.1	77.7	60.5	49.4	44.5	83.3	69.5	92.1	90.3	88.8	71.9	74.5
DeiT-Ti2024.12		65	90.6	72.5	56.1	39.7	39.9	81.6	67	91.1	88.8	85.1	69.4	70.6
DINOv22023.04		0.947	0.995	0.944	0.787	0.914	0.872	0.89	0.845	0.967	0.976	0.997	0.916	0.921
OpenCLIP2023.04		0.945	0.987	0.91	0.84	0.961	0.802	0.893	0.86	0.957	0.981	0.995	0.899	0.919
DINOv22023.04		0.943	0.993	0.934	0.787	0.901	0.815	0.883	0.84	0.966	0.975	0.997	0.905	0.912
DINOv22023.04		0.928	0.987	0.913	0.773	0.882	0.794	0.882	0.833	0.962	0.961	0.996	0.896	0.901
iBOT2023.04		0.91	0.99	0.928	0.756	0.718	0.724	0.89	0.807	0.877	0.975	0.996	0.821	0.866
DINOv22023.04		0.891	0.977	0.875	0.744	0.816	0.74	0.878	0.806	0.951	0.97	0.996	0.881	0.877
DINO2023.04		0.851	0.972	0.869	0.703	0.766	0.706	0.867	0.796	0.932	0.954	0.976	0.817	0.851
MAE2023.04		0.784	0.961	0.839	0.639	0.561	0.634	0.843	0.754	0.894	0.959	0.923	0.572	0.78