2D Object Detection on COCO (Common Objects in Context)

Metric: box AP (higher is better)

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#	Model↕	box AP▼	Augmentations	Paper	Date↕	Code
1	DEIM-D-FINE-X+	59.5	No	DEIM: DETR with Improved Matching for Fast Conve...	2024-12-05	Code
2	D-FINE-X+	59.3	No	D-FINE: Redefine Regression Task in DETRs as Fin...	2024-10-17	Code
3	MOAT-3 22K+1K	59.2	No	MOAT: Alternating Mobile Convolution and Attenti...	2022-10-04	Code
4	MOAT-2	58.5	No	MOAT: Alternating Mobile Convolution and Attenti...	2022-10-04	Code
5	YOLOv6-L6(1280)	57.2	No	YOLOv6: A Single-Stage Object Detection Framewor...	2022-09-07	Code
6	D-FINE-L+	57.1	No	0/1 Deep Neural Networks via Block Coordinate De...	2022-06-19	-
7	PRB-FPN6-E-ELAN(1280)	56.9	No	Parallel Residual Bi-Fusion Feature Pyramid Netw...	2020-12-03	Code
8	YOLOv7-E6E(1280)	56.8	No	YOLOv7: Trainable bag-of-freebies sets new state...	2022-07-06	Code
9	YOLOv7-D6(1280)	56.6	No	YOLOv7: Trainable bag-of-freebies sets new state...	2022-07-06	Code
10	DEIM-D-FINE-X	56.5	No	DEIM: DETR with Improved Matching for Fast Conve...	2024-12-05	Code
11	RT-DETR-H(640)	56.3	No	DETRs Beat YOLOs on Real-time Object Detection	2023-04-17	Code
12	YOLOv7-E6(1280)	56	No	YOLOv7: Trainable bag-of-freebies sets new state...	2022-07-06	Code
13	D-FINE-X	55.8	No	D-FINE: Redefine Regression Task in DETRs as Fin...	2024-10-17	Code
14	YOLOv9-E	55.6	No	YOLOv9: Learning What You Want to Learn Using Pr...	2024-02-21	Code
15	YOLOR-D6	55.4	Yes	You Only Learn One Representation: Unified Netwo...	2021-05-10	Code
16	YOLOv12x	55.2	No	YOLOv12: A Breakdown of the Key Architectural Fe...	2025-02-20	-
17	D-FINE-M+	55.1	Yes	D-FINE: Redefine Regression Task in DETRs as Fin...	2024-10-17	Code
18	GELAN-E	55	No	YOLOv9: Learning What You Want to Learn Using Pr...	2024-02-21	Code
19	YOLOv7-W6(1280)	54.9	No	YOLOv7: Trainable bag-of-freebies sets new state...	2022-07-06	Code
20	RT-DETR-X	54.8	No	DETRs Beat YOLOs on Real-time Object Detection	2023-04-17	Code
21	YOLOR-E6	54.8	Yes	You Only Learn One Representation: Unified Netwo...	2021-05-10	Code
22	DEIM-D-FINE-L	54.7	No	DEIM: DETR with Improved Matching for Fast Conve...	2024-12-05	Code
23	YOLOv11x	54.7	No	YOLOv11: An Overview of the Key Architectural En...	2024-10-23	Code
24	PP-YOLOE+_X	54.7	No	PP-YOLOE: An evolved version of YOLO	2022-03-30	Code
25	YOLOv10-X	54.4	No	YOLOv10: Real-Time End-to-End Object Detection	2024-05-23	Code
26	RT-DETR-R101	54.3	No	DETRs Beat YOLOs on Real-time Object Detection	2023-04-17	Code
27	YOLOR-W6	54.1	Yes	You Only Learn One Representation: Unified Netwo...	2021-05-10	Code
28	D-FINE-L	54	No	D-FINE: Redefine Regression Task in DETRs as Fin...	2024-10-17	Code
29	PP-YOLOE+_L(distillation)	54	No	PP-YOLOE: An evolved version of YOLO	2022-03-30	Code
30	YOLOv12l	53.7	No	YOLOv12: A Breakdown of the Key Architectural Fe...	2025-02-20	-
31	YOLOv11l	53.4	No	YOLOv11: An Overview of the Key Architectural En...	2024-10-23	Code
32	YOLOv10-L	53.4	No	YOLOv10: Real-Time End-to-End Object Detection	2024-05-23	Code
33	PRB-FPN-MSP	53.3	No	Parallel Residual Bi-Fusion Feature Pyramid Netw...	2020-12-03	Code
34	YOLOv7-X	53.1	No	YOLOv7: Trainable bag-of-freebies sets new state...	2022-07-06	Code
35	RT-DETR-L	53	No	DETRs Beat YOLOs on Real-time Object Detection	2023-04-17	Code
36	YOLOR-P6D	53	No	You Only Learn One Representation: Unified Netwo...	2021-05-10	Code
37	YOLOv9-C	53	No	YOLOv9: Learning What You Want to Learn Using Pr...	2024-02-21	Code
38	PP-YOLOE+_L	52.9	No	PP-YOLOE: An evolved version of YOLO	2022-03-30	Code
39	YOLOv6-L	52.8	No	YOLOv6 v3.0: A Full-Scale Reloading	2023-01-13	Code
40	RTMDet	52.8	No	RTMDet: An Empirical Study of Designing Real-Tim...	2022-12-14	Code
41	DEIM-D-FINE-M	52.7	No	DEIM: DETR with Improved Matching for Fast Conve...	2024-12-05	Code
42	YOLOv10-B	52.7	No	YOLOv10: Real-Time End-to-End Object Detection	2024-05-23	Code
43	YOLOR-P6	52.6	No	You Only Learn One Representation: Unified Netwo...	2021-05-10	Code
44	YOLOv12m	52.5	No	YOLOv12: A Breakdown of the Key Architectural Fe...	2025-02-20	-
45	PRB-FPN-ELAN	52.5	No	Parallel Residual Bi-Fusion Feature Pyramid Netw...	2020-12-03	Code
46	GELAN-C	52.5	No	YOLOv9: Learning What You Want to Learn Using Pr...	2024-02-21	Code
47	D-FINE-M	52.3	No	D-FINE: Redefine Regression Task in DETRs as Fin...	2024-10-17	Code
48	PRB-FPN-CSP	51.8	No	Parallel Residual Bi-Fusion Feature Pyramid Netw...	2020-12-03	Code
49	YOLOv11m	51.5	No	YOLOv11: An Overview of the Key Architectural En...	2024-10-23	Code
50	YOLOv9-M	51.4	No	YOLOv9: Learning What You Want to Learn Using Pr...	2024-02-21	Code
51	YOLOv10-M	51.3	No	YOLOv10: Real-Time End-to-End Object Detection	2024-05-23	Code
52	MAFYOLOm	51.2	No	Multi-Branch Auxiliary Fusion YOLO with Re-param...	2024-07-05	Code
53	GELAN-M	51.1	No	YOLOv9: Learning What You Want to Learn Using Pr...	2024-02-21	Code
54	YOLOv3	51	No	PP-YOLOE: An evolved version of YOLO	2022-03-30	Code
55	DAMO-YOLO-L	50.8	No	DAMO-YOLO : A Report on Real-Time Object Detecti...	2022-11-23	Code
56	D-FINE-S+	50.7	Yes	D-FINE: Redefine Regression Task in DETRs as Fin...	2024-10-17	Code
57	YOLOv5-X	50.4	No	YOLOX: Exceeding YOLO Series in 2021	2021-07-18	Code
58	YOLOv6-S6(1280)	50.3	No	YOLOv6 v3.0: A Full-Scale Reloading	2023-01-13	Code
59	YOLOv6-M	50	No	YOLOv6 v3.0: A Full-Scale Reloading	2023-01-13	Code
60	PP-YOLOE+_M	49.8	No	PP-YOLOE: An evolved version of YOLO	2022-03-30	Code
61	DAMO-YOLO-M	49.2	No	DAMO-YOLO : A Report on Real-Time Object Detecti...	2022-11-23	Code
62	DEIM-D-FINE-S	49	No	DEIM: DETR with Improved Matching for Fast Conve...	2024-12-05	Code
63	D-FINE-S	48.5	No	D-FINE: Redefine Regression Task in DETRs as Fin...	2024-10-17	Code
64	YOLOv12s	48	No	YOLOv12: A Breakdown of the Key Architectural Fe...	2025-02-20	-
65	MAFYOLOs	47.4	No	Multi-Branch Auxiliary Fusion YOLO with Re-param...	2024-07-05	Code
66	YOLOv11s	47	No	YOLOv11: An Overview of the Key Architectural En...	2024-10-23	Code
67	YOLOv9-S	46.8	No	YOLOv9: Learning What You Want to Learn Using Pr...	2024-02-21	Code
68	YOLOv10-S	46.8	No	YOLOv10: Real-Time End-to-End Object Detection	2024-05-23	Code
69	GELAN-S	46.7	No	YOLOv9: Learning What You Want to Learn Using Pr...	2024-02-21	Code
70	DAMO-YOLO-S	46	No	DAMO-YOLO : A Report on Real-Time Object Detecti...	2022-11-23	Code
71	YOLOv6-S	45	No	YOLOv6 v3.0: A Full-Scale Reloading	2023-01-13	Code
72	YOLOv4-L	43.5	No	YOLOv4: Optimal Speed and Accuracy of Object Det...	2020-04-23	Code
73	YOLOv4-M	43	No	YOLOv4: Optimal Speed and Accuracy of Object Det...	2020-04-23	Code
74	MAFYOLOn	42.4	No	Multi-Branch Auxiliary Fusion YOLO with Re-param...	2024-07-05	Code
75	DAMO-YOLO-T	42	No	DAMO-YOLO : A Report on Real-Time Object Detecti...	2022-11-23	Code
76	Faster RCNN-FPN+	42	Yes	End-to-End Object Detection with Transformers	2020-05-26	Code
77	YOLOv4-S	41.2	No	YOLOv4: Optimal Speed and Accuracy of Object Det...	2020-04-23	Code
78	YOLOv12n	40.6	No	YOLOv12: A Breakdown of the Key Architectural Fe...	2025-02-20	-
79	YOLOv11n	39.5	Yes	YOLOv11: An Overview of the Key Architectural En...	2024-10-23	Code
80	YOLOv10-N	39.5	Yes	YOLOv10: Real-Time End-to-End Object Detection	2024-05-23	Code
81	YOLOv6-N	37.5	Yes	YOLOv6 v3.0: A Full-Scale Reloading	2023-01-13	Code
82	YOLOv3-L	33	Yes	YOLOv3: An Incremental Improvement	2018-04-08	Code
83	YOLOv5n	28	Yes	-	-	Code

#1DEIM-D-FINE-X+SOTA
59.5
box AP· 2024-12-05
DEIM: DETR with Improved Matching for Fast Convergence Code
#2D-FINE-X+SOTA
59.3
box AP· 2024-10-17
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement Code
#3MOAT-3 22K+1KSOTA
59.2
box AP· 2022-10-04
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models Code
#4MOAT-2
58.5
box AP· 2022-10-04
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models Code
#5YOLOv6-L6(1280)SOTA
57.2
box AP· 2022-09-07
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications Code
#6D-FINE-L+SOTA
57.1
box AP· 2022-06-19
0/1 Deep Neural Networks via Block Coordinate Descent
#7PRB-FPN6-E-ELAN(1280)SOTA
56.9
box AP· 2020-12-03
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection Code
#8YOLOv7-E6E(1280)
56.8
box AP· 2022-07-06
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Code
#9YOLOv7-D6(1280)
56.6
box AP· 2022-07-06
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Code
#10DEIM-D-FINE-X
56.5
box AP· 2024-12-05
DEIM: DETR with Improved Matching for Fast Convergence Code
#11RT-DETR-H(640)
56.3
box AP· 2023-04-17
DETRs Beat YOLOs on Real-time Object Detection Code
#12YOLOv7-E6(1280)
56
box AP· 2022-07-06
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Code
#13D-FINE-X
55.8
box AP· 2024-10-17
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement Code
#14YOLOv9-E
55.6
box AP· 2024-02-21
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Code
#15YOLOR-D6
55.4
box AP· Augmentations· 2021-05-10
You Only Learn One Representation: Unified Network for Multiple Tasks Code
#16YOLOv12x
55.2
box AP· 2025-02-20
YOLOv12: A Breakdown of the Key Architectural Features
#17D-FINE-M+
55.1
box AP· Augmentations· 2024-10-17
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement Code
#18GELAN-E
55
box AP· 2024-02-21
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Code
#19YOLOv7-W6(1280)
54.9
box AP· 2022-07-06
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Code
#20RT-DETR-X
54.8
box AP· 2023-04-17
DETRs Beat YOLOs on Real-time Object Detection Code
#21YOLOR-E6
54.8
box AP· Augmentations· 2021-05-10
You Only Learn One Representation: Unified Network for Multiple Tasks Code
#22DEIM-D-FINE-L
54.7
box AP· 2024-12-05
DEIM: DETR with Improved Matching for Fast Convergence Code
#23YOLOv11x
54.7
box AP· 2024-10-23
YOLOv11: An Overview of the Key Architectural Enhancements Code
#24PP-YOLOE+_X
54.7
box AP· 2022-03-30
PP-YOLOE: An evolved version of YOLO Code
#25YOLOv10-X
54.4
box AP· 2024-05-23
YOLOv10: Real-Time End-to-End Object Detection Code
#26RT-DETR-R101
54.3
box AP· 2023-04-17
DETRs Beat YOLOs on Real-time Object Detection Code
#27YOLOR-W6
54.1
box AP· Augmentations· 2021-05-10
You Only Learn One Representation: Unified Network for Multiple Tasks Code
#28D-FINE-L
54
box AP· 2024-10-17
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement Code
#29PP-YOLOE+_L(distillation)
54
box AP· 2022-03-30
PP-YOLOE: An evolved version of YOLO Code
#30YOLOv12l
53.7
box AP· 2025-02-20
YOLOv12: A Breakdown of the Key Architectural Features
#31YOLOv11l
53.4
box AP· 2024-10-23
YOLOv11: An Overview of the Key Architectural Enhancements Code
#32YOLOv10-L
53.4
box AP· 2024-05-23
YOLOv10: Real-Time End-to-End Object Detection Code
#33PRB-FPN-MSP
53.3
box AP· 2020-12-03
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection Code
#34YOLOv7-X
53.1
box AP· 2022-07-06
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Code
#35RT-DETR-L
53
box AP· 2023-04-17
DETRs Beat YOLOs on Real-time Object Detection Code
#36YOLOR-P6D
53
box AP· 2021-05-10
You Only Learn One Representation: Unified Network for Multiple Tasks Code
#37YOLOv9-C
53
box AP· 2024-02-21
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Code
#38PP-YOLOE+_L
52.9
box AP· 2022-03-30
PP-YOLOE: An evolved version of YOLO Code
#39YOLOv6-L
52.8
box AP· 2023-01-13
YOLOv6 v3.0: A Full-Scale Reloading Code
#40RTMDet
52.8
box AP· 2022-12-14
RTMDet: An Empirical Study of Designing Real-Time Object Detectors Code
#41DEIM-D-FINE-M
52.7
box AP· 2024-12-05
DEIM: DETR with Improved Matching for Fast Convergence Code
#42YOLOv10-B
52.7
box AP· 2024-05-23
YOLOv10: Real-Time End-to-End Object Detection Code
#43YOLOR-P6
52.6
box AP· 2021-05-10
You Only Learn One Representation: Unified Network for Multiple Tasks Code
#44YOLOv12m
52.5
box AP· 2025-02-20
YOLOv12: A Breakdown of the Key Architectural Features
#45PRB-FPN-ELAN
52.5
box AP· 2020-12-03
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection Code
#46GELAN-C
52.5
box AP· 2024-02-21
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Code
#47D-FINE-M
52.3
box AP· 2024-10-17
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement Code
#48PRB-FPN-CSP
51.8
box AP· 2020-12-03
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection Code
#49YOLOv11m
51.5
box AP· 2024-10-23
YOLOv11: An Overview of the Key Architectural Enhancements Code
#50YOLOv9-M
51.4
box AP· 2024-02-21
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Code
#51YOLOv10-M
51.3
box AP· 2024-05-23
YOLOv10: Real-Time End-to-End Object Detection Code
#52MAFYOLOm
51.2
box AP· 2024-07-05
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection Code
#53GELAN-M
51.1
box AP· 2024-02-21
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Code
#54YOLOv3
51
box AP· 2022-03-30
PP-YOLOE: An evolved version of YOLO Code
#55DAMO-YOLO-L
50.8
box AP· 2022-11-23
DAMO-YOLO : A Report on Real-Time Object Detection Design Code
#56D-FINE-S+
50.7
box AP· Augmentations· 2024-10-17
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement Code
#57YOLOv5-X
50.4
box AP· 2021-07-18
YOLOX: Exceeding YOLO Series in 2021 Code
#58YOLOv6-S6(1280)
50.3
box AP· 2023-01-13
YOLOv6 v3.0: A Full-Scale Reloading Code
#59YOLOv6-M
50
box AP· 2023-01-13
YOLOv6 v3.0: A Full-Scale Reloading Code
#60PP-YOLOE+_M
49.8
box AP· 2022-03-30
PP-YOLOE: An evolved version of YOLO Code
#61DAMO-YOLO-M
49.2
box AP· 2022-11-23
DAMO-YOLO : A Report on Real-Time Object Detection Design Code
#62DEIM-D-FINE-S
49
box AP· 2024-12-05
DEIM: DETR with Improved Matching for Fast Convergence Code
#63D-FINE-S
48.5
box AP· 2024-10-17
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement Code
#64YOLOv12s
48
box AP· 2025-02-20
YOLOv12: A Breakdown of the Key Architectural Features
#65MAFYOLOs
47.4
box AP· 2024-07-05
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection Code
#66YOLOv11s
47
box AP· 2024-10-23
YOLOv11: An Overview of the Key Architectural Enhancements Code
#67YOLOv9-S
46.8
box AP· 2024-02-21
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Code
#68YOLOv10-S
46.8
box AP· 2024-05-23
YOLOv10: Real-Time End-to-End Object Detection Code
#69GELAN-S
46.7
box AP· 2024-02-21
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Code
#70DAMO-YOLO-S
46
box AP· 2022-11-23
DAMO-YOLO : A Report on Real-Time Object Detection Design Code
#71YOLOv6-S
45
box AP· 2023-01-13
YOLOv6 v3.0: A Full-Scale Reloading Code
#72YOLOv4-LSOTA
43.5
box AP· 2020-04-23
YOLOv4: Optimal Speed and Accuracy of Object Detection Code
#73YOLOv4-M
43
box AP· 2020-04-23
YOLOv4: Optimal Speed and Accuracy of Object Detection Code
#74MAFYOLOn
42.4
box AP· 2024-07-05
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection Code
#75DAMO-YOLO-T
42
box AP· 2022-11-23
DAMO-YOLO : A Report on Real-Time Object Detection Design Code
#76Faster RCNN-FPN+
42
box AP· Augmentations· 2020-05-26
End-to-End Object Detection with Transformers Code
#77YOLOv4-S
41.2
box AP· 2020-04-23
YOLOv4: Optimal Speed and Accuracy of Object Detection Code
#78YOLOv12n
40.6
box AP· 2025-02-20
YOLOv12: A Breakdown of the Key Architectural Features
#79YOLOv11n
39.5
box AP· Augmentations· 2024-10-23
YOLOv11: An Overview of the Key Architectural Enhancements Code
#80YOLOv10-N
39.5
box AP· Augmentations· 2024-05-23
YOLOv10: Real-Time End-to-End Object Detection Code
#81YOLOv6-N
37.5
box AP· Augmentations· 2023-01-13
YOLOv6 v3.0: A Full-Scale Reloading Code
#82YOLOv3-LSOTA
33
box AP· Augmentations· 2018-04-08
YOLOv3: An Incremental Improvement Code
#83YOLOv5n
28
box AP· Augmentations
No paperCode