Object Detection Leaderboard

65 models · COCO 2017 val (5k images) · Data from Jul 25, 2026 · Source: Roboflow

All (65)D-FINE DEIM LW-DETR RF-DETR RT-DETR RT-DETRv2 RTMDet YOLO11 YOLOv10 YOLOv12 YOLOv13 YOLOv8

Showing 65 of 65 models

#	Model	Arch	Params	mAP 50:95 ↓	mAP 50	mAP 75	Small	Medium	Large	License
1	D-FINE-X-Objects365+COCO	D-FINE	61.6M	0.593	0.768	0.646	0.422	0.642	0.764	Apache-2.0
2	RF-DETR-L	RF-DETR	135.6M	0.590	0.773	0.643	0.422	0.634	0.759	Apache-2.0
3	LW-DETR-xlarge	LW-DETR	118.0M	0.583	0.769	0.633	0.408	0.632	0.748	Apache-2.0
4	D-FINE-L-Objects365+COCO	D-FINE	30.7M	0.573	0.749	0.623	0.405	0.615	0.737	Apache-2.0
5	DEIM-D-FINE-X	DEIM	61.7M	0.565	0.740	0.616	0.388	0.614	0.742	Apache-2.0
6	LW-DETR-large	LW-DETR	46.8M	0.561	0.746	0.609	0.372	0.604	0.730	Apache-2.0
7	D-FINE-X	D-FINE	61.6M	0.558	0.737	0.602	0.373	0.605	0.735	Apache-2.0
8	DEIM-RT-DETRv2-X	DEIM	74.9M	0.555	0.735	0.603	0.379	0.599	0.729	Apache-2.0
9	D-FINE-M-Objects365+COCO	D-FINE	19.2M	0.551	0.726	0.597	0.379	0.594	0.717	Apache-2.0
10	DEIM-D-FINE-L	DEIM	30.8M	0.547	0.724	0.594	0.369	0.597	0.718	Apache-2.0
11	RT-DETRv2-X	RT-DETRv2	92.5M	0.543	0.728	0.588	0.358	0.588	0.721	Apache-2.0
12	RT-DETRv1 r101vd	RT-DETR	92.5M	0.543	0.728	0.588	0.358	0.588	0.721	Apache-2.0
13	DEIM-RT-DETRv2-L	DEIM	42.1M	0.543	0.722	0.588	0.367	0.590	0.710	Apache-2.0
14	yolov12x.pt	YOLOv12	59.1M	0.540	0.703	0.590	0.382	0.596	0.698	APGL-3.0
15	D-FINE-L	D-FINE	30.7M	0.540	0.716	0.584	0.365	0.580	0.719	Apache-2.0
16	yolov13x.pt	YOLOv13	64.0M	0.537	0.708	0.587	0.373	0.594	0.690	APGL-3.0
17	yolov10x	YOLOv10	31.7M	0.536	0.703	0.584	0.363	0.591	0.702	APGL-3.0
18	yolo11x	YOLO11	56.9M	0.535	0.701	0.583	0.370	0.586	0.692	APGL-3.0
19	RT-DETRv2-L	RT-DETRv2	50.0M	0.534	0.716	0.575	0.360	0.578	0.708	Apache-2.0
20	RF-DETR-B	RF-DETR	32.2M	0.533	0.722	0.576	0.354	0.585	0.715	Apache-2.0
21	DEIM-RT-DETRv2-M*	DEIM	33.0M	0.532	0.712	0.578	0.353	0.576	0.702	Apache-2.0
22	RT-DETRv1 r50vd	RT-DETR	50.0M	0.531	0.712	0.577	0.347	0.577	0.701	Apache-2.0
23	yolov8x	YOLOv8	68.2M	0.529	0.694	0.577	0.346	0.583	0.696	APGL-3.0
24	DEIM-D-FINE-M	DEIM	19.2M	0.527	0.700	0.573	0.352	0.567	0.694	Apache-2.0
25	LW-DETR-medium	LW-DETR	28.2M	0.526	0.720	0.567	0.327	0.576	0.706	Apache-2.0
26	yolov12l.pt	YOLOv12	26.4M	0.526	0.691	0.573	0.349	0.583	0.686	APGL-3.0
27	RTMDet-x	RTMDet	94.9M	0.525	0.701	0.577	0.355	0.568	0.688	GPL-3.0
28	yolov10l	YOLOv10	25.8M	0.523	0.691	0.571	0.349	0.576	0.691	APGL-3.0
29	D-FINE-M	D-FINE	19.2M	0.523	0.699	0.564	0.332	0.565	0.701	Apache-2.0
30	yolov13l.pt	YOLOv13	27.6M	0.523	0.697	0.569	0.345	0.580	0.684	APGL-3.0
31	yolo11l	YOLO11	25.3M	0.521	0.684	0.568	0.342	0.579	0.684	APGL-3.0
32	RT-DETRv2-M	RT-DETRv2	38.4M	0.519	0.699	0.565	0.335	0.568	0.692	Apache-2.0
33	yolov8l	YOLOv8	43.7M	0.518	0.683	0.565	0.345	0.572	0.688	APGL-3.0
34	yolov10b	YOLOv10	20.5M	0.518	0.686	0.566	0.346	0.572	0.679	APGL-3.0
35	yolov12m.pt	YOLOv12	20.2M	0.514	0.680	0.558	0.344	0.566	0.683	APGL-3.0
36	RTMDet-l	RTMDet	52.3M	0.512	0.689	0.558	0.333	0.556	0.677	GPL-3.0
37	DEIM-RT-DETRv2-M	DEIM	31.2M	0.509	0.686	0.552	0.343	0.544	0.671	Apache-2.0
38	D-FINE-S-Objects365+COCO	D-FINE	10.2M	0.507	0.677	0.551	0.329	0.546	0.665	Apache-2.0
39	yolo11m	YOLO11	20.1M	0.505	0.670	0.549	0.325	0.559	0.664	APGL-3.0
40	yolov10m	YOLOv10	16.5M	0.503	0.672	0.549	0.320	0.558	0.663	APGL-3.0
41	RT-DETRv2-M*	RT-DETRv2	33.2M	0.499	0.675	0.541	0.320	0.532	0.665	Apache-2.0
42	yolov8m	YOLOv8	25.9M	0.492	0.657	0.536	0.309	0.546	0.654	APGL-3.0
43	DEIM-RT-DETRv2-S	DEIM	20.0M	0.491	0.661	0.533	0.326	0.525	0.641	Apache-2.0
44	RTMDet-m	RTMDet	24.7M	0.490	0.667	0.536	0.307	0.532	0.659	GPL-3.0
45	DEIM-D-FINE-S	DEIM	10.2M	0.490	0.659	0.531	0.304	0.526	0.656	Apache-2.0
46	DEIM-D-FINE-N	DEIM	10.2M	0.490	0.659	0.531	0.304	0.526	0.656	Apache-2.0
47	RT-DETRv1 r34vd	RT-DETR	33.2M	0.489	0.668	0.527	0.305	0.523	0.660	Apache-2.0
48	D-FINE-S	D-FINE	10.2M	0.485	0.654	0.526	0.293	0.522	0.654	Apache-2.0
49	RT-DETRv2-S	RT-DETRv2	22.0M	0.481	0.651	0.521	0.302	0.512	0.642	Apache-2.0
50	LW-DETR-small	LW-DETR	14.6M	0.481	0.669	0.517	0.268	0.525	0.656	Apache-2.0
51	yolov13s.pt	YOLOv13	9.03M	0.468	0.635	0.506	0.267	0.519	0.636	APGL-3.0
52	yolov12s.pt	YOLOv12	9.26M	0.467	0.631	0.506	0.274	0.517	0.646	APGL-3.0
53	RT-DETRv1 r18vd	RT-DETR	22.0M	0.464	0.637	0.503	0.284	0.497	0.629	Apache-2.0
54	yolov10s	YOLOv10	8.10M	0.457	0.623	0.498	0.260	0.504	0.629	APGL-3.0
55	yolo11s	YOLO11	9.44M	0.455	0.620	0.492	0.276	0.501	0.625	APGL-3.0
56	RTMDet-s	RTMDet	8.89M	0.444	0.615	0.481	0.243	0.490	0.615	GPL-3.0
57	yolov8s	YOLOv8	11.2M	0.441	0.602	0.477	0.252	0.489	0.602	APGL-3.0
58	LW-DETR-tiny	LW-DETR	12.1M	0.429	0.608	0.460	0.227	0.474	0.600	Apache-2.0
59	D-FINE-N	D-FINE	3.75M	0.428	0.603	0.455	0.229	0.468	0.622	Apache-2.0
60	RTMDet-tiny	RTMDet	4.90M	0.410	0.574	0.443	0.210	0.453	0.582	GPL-3.0
61	yolov13n.pt	YOLOv13	2.48M	0.404	0.562	0.439	0.194	0.446	0.586	APGL-3.0
62	yolov12n.pt	YOLOv12	2.59M	0.397	0.550	0.429	0.191	0.441	0.572	APGL-3.0
63	yolo11n	YOLO11	2.62M	0.385	0.538	0.419	0.189	0.423	0.560	APGL-3.0
64	yolov10n	YOLOv10	2.76M	0.380	0.529	0.413	0.186	0.418	0.546	APGL-3.0
65	yolov8n	YOLOv8	3.15M	0.365	0.514	0.397	0.174	0.404	0.519	APGL-3.0