manga-face-detector-dfine-v1

Attach3/manga-face-detector-dfine-v1

manga-face-detector-dfine-v1 is a object detection model from Attach3. Use it when you need objects located in an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Object Detection
Library: transformers
License: apache-2.0
Model type: d_fine
Access: Public
Created: Jul 9, 2026
Updated: Jul 9, 2026
SHA: ac648361

Base models

Attach3/manga-panel-detector-dfine

Model card

From the Hugging Face model README

manga-face-detector-dfine-v1

This model is a fine-tuned version of Attach3/manga-panel-detector-dfine on the Attach3/manga109s-faces-single dataset. It achieves the following results on the evaluation set:

Loss: 4.5347
Map: 0.2875
Map 50: 0.5672
Map 75: 0.2518
Map Small: 0.1438
Map Medium: 0.3099
Map Large: 0.3967
Mar 1: 0.0968
Mar 10: 0.4484
Mar 100: 0.5884
Mar Small: 0.3936
Mar Medium: 0.5848
Mar Large: 0.7378
Map Face: 0.2875
Mar 100 Face: 0.5884

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15.0

Training results

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 1	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Face	Mar 100 Face
15.4498	1.0	1383	3.7752	0.26	0.4968	0.2403	0.099	0.2599	0.3989	0.093	0.3632	0.5589	0.3394	0.5709	0.6845	0.26	0.5589
14.6906	2.0	2766	3.9415	0.2835	0.5478	0.2532	0.1221	0.2919	0.3987	0.0978	0.4086	0.5734	0.3696	0.5767	0.7106	0.2835	0.5734
14.4156	3.0	4149	4.0874	0.2964	0.5837	0.2582	0.133	0.3083	0.4032	0.0993	0.43	0.576	0.3759	0.5766	0.7179	0.2964	0.576
14.2519	4.0	5532	4.1849	0.3009	0.5961	0.2602	0.1386	0.3205	0.404	0.0997	0.4389	0.5777	0.3824	0.5766	0.7208	0.3009	0.5777
14.1930	5.0	6915	4.2457	0.2981	0.5859	0.2595	0.1408	0.3118	0.4042	0.0995	0.442	0.5811	0.3831	0.5795	0.7271	0.2981	0.5811
14.1194	6.0	8298	4.3367	0.2962	0.5865	0.2576	0.1394	0.3136	0.4029	0.0987	0.4457	0.5853	0.3932	0.5831	0.7288	0.2962	0.5853
14.0494	7.0	9681	4.3983	0.2958	0.5844	0.2598	0.1425	0.3173	0.4022	0.0979	0.4475	0.5852	0.3912	0.5822	0.7325	0.2958	0.5852
13.9709	8.0	11064	4.4487	0.2855	0.5689	0.2475	0.1401	0.3044	0.3898	0.0969	0.4444	0.5866	0.3911	0.5843	0.7327	0.2855	0.5866
13.9378	9.0	12447	4.4390	0.288	0.569	0.2536	0.1405	0.3065	0.3948	0.0977	0.4468	0.5861	0.3883	0.5837	0.7345	0.288	0.5861
13.9212	10.0	13830	4.4660	0.2911	0.5752	0.2571	0.1421	0.3113	0.4003	0.0979	0.4478	0.5865	0.3903	0.5832	0.7358	0.2911	0.5865
13.9169	11.0	15213	4.5232	0.2848	0.5656	0.2458	0.1408	0.3065	0.3864	0.0962	0.4448	0.585	0.3894	0.5806	0.7368	0.2848	0.585
13.8883	12.0	16596	4.5203	0.2846	0.5607	0.2505	0.1403	0.3058	0.3928	0.0971	0.4463	0.5891	0.3938	0.586	0.7373	0.2846	0.5891
13.9033	13.0	17979	4.5300	0.2934	0.5764	0.258	0.1422	0.3115	0.4047	0.0981	0.4507	0.5889	0.3951	0.5855	0.7367	0.2934	0.5889
13.8875	14.0	19362	4.5289	0.2863	0.5628	0.2509	0.1424	0.3076	0.3954	0.0968	0.4456	0.5872	0.3927	0.5833	0.7367	0.2863	0.5872
13.8552	15.0	20745	4.5347	0.2875	0.5672	0.2518	0.1438	0.3099	0.3967	0.0968	0.4484	0.5884	0.3936	0.5848	0.7378	0.2875	0.5884

Framework versions

Transformers 5.13.0
Pytorch 2.13.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2

Task: Object Detection
Library: transformers
Type: d_fine
License: apache-2.0
Created: Jul 9, 2026
Updated: Jul 9, 2026