rtdetr-accident-cctv

dri11heaD/rtdetr-accident-cctv

rtdetr-accident-cctv is a object detection model from dri11heaD. 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: rt_detr
Access: Public
Created: Aug 18, 2026
Updated: Aug 18, 2026
SHA: aa82af22

Base models

PekingU/rtdetr_r18vd

Model card

From the Hugging Face model README

rtdetr-accident-cctv

This model is a fine-tuned version of PekingU/rtdetr_r18vd on the None dataset. It achieves the following results on the evaluation set:

Loss: 7.3092
Map: 0.3966
Map 50: 0.5632
Map 75: 0.4384
Map Small: 0.0078
Map Medium: 0.3845
Map Large: 0.438
Mar 1: 0.4148
Mar 10: 0.6538
Mar 100: 0.7869
Mar Small: 0.3633
Mar Medium: 0.7854
Mar Large: 0.7864
Map Accident: 0.5535
Mar 100 Accident: 0.8302
Map Non-accident: 0.2396
Mar 100 Non-accident: 0.7437

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 3407
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: cosine
lr_scheduler_warmup_steps: 300
num_epochs: 12
mixed_precision_training: Native AMP

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 Accident	Mar 100 Accident	Map Non-accident	Mar 100 Non-accident
13.9538	1.0	309	9.3017	0.1194	0.1975	0.1187	0.0005	0.0839	0.1319	0.2059	0.454	0.7321	0.1167	0.7256	0.755	0.212	0.7932	0.0267	0.671
10.9516	2.0	618	7.7241	0.1604	0.2364	0.1692	0.0046	0.1294	0.1721	0.2663	0.5475	0.7682	0.2033	0.7531	0.7882	0.2623	0.8098	0.0584	0.7265
9.7495	3.0	927	7.4023	0.2277	0.3323	0.2446	0.0027	0.2111	0.2466	0.2999	0.5443	0.7611	0.2167	0.7467	0.7647	0.402	0.8071	0.0534	0.7151
9.0010	4.0	1236	7.1968	0.2604	0.3866	0.2688	0.0033	0.2712	0.2747	0.3823	0.616	0.7804	0.2633	0.762	0.7846	0.4156	0.8163	0.1052	0.7445
8.1878	5.0	1545	7.3127	0.3201	0.4578	0.3438	0.0044	0.3368	0.3705	0.406	0.6326	0.8057	0.31	0.7894	0.8222	0.4969	0.838	0.1432	0.7735
7.6957	6.0	1854	7.1702	0.3381	0.4731	0.3851	0.0083	0.3387	0.4001	0.3991	0.6428	0.8036	0.3733	0.7875	0.8129	0.5361	0.841	0.1402	0.7661
7.2060	7.0	2163	7.1868	0.3748	0.5356	0.4141	0.0082	0.3765	0.4138	0.4068	0.6454	0.7854	0.3367	0.7818	0.7839	0.5359	0.8173	0.2136	0.7535
6.9991	8.0	2472	7.2713	0.3682	0.5264	0.4016	0.0091	0.3571	0.4085	0.4129	0.6504	0.7904	0.39	0.7895	0.7824	0.5473	0.8356	0.1892	0.7453
6.5298	9.0	2781	7.2003	0.399	0.5598	0.444	0.0092	0.3816	0.4531	0.4156	0.6427	0.7918	0.3467	0.7919	0.7889	0.5602	0.8339	0.2377	0.7498
6.3957	10.0	3090	7.3283	0.3835	0.5481	0.4221	0.0089	0.3827	0.4168	0.427	0.6367	0.7828	0.3567	0.7829	0.78	0.5509	0.8268	0.216	0.7388
6.2769	11.0	3399	7.2994	0.394	0.5562	0.434	0.0085	0.3767	0.4416	0.414	0.644	0.7889	0.3633	0.7847	0.7935	0.5563	0.8292	0.2316	0.7486
6.2947	12.0	3708	7.3092	0.3966	0.5632	0.4384	0.0078	0.3845	0.438	0.4148	0.6538	0.7869	0.3633	0.7854	0.7864	0.5535	0.8302	0.2396	0.7437

Framework versions

Transformers 5.15.0
Pytorch 2.11.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2

Task: Object Detection
Library: transformers
Type: rt_detr
License: apache-2.0
Created: Aug 18, 2026
Updated: Aug 18, 2026