paper-with-me

Real-Time Object Detection 벤치마크

Real-Time Object Detection on COCO (Common Objects in Context)

410개 결과 · ⬇ CSV · JSON

box AP

28 35.88 43.75 51.62 59.5 2018-04 2026-11 YOLOv3-L — 33.0 (2018-04-08) YOLOv3-L — 33.0 (2018-04-08) YOLOv3-L — 33.0 (2018-04-08) YOLOv3-L — 33.0 (2018-04-08) YOLOv3-L — 33.0 (2018-04-08) YOLOv4-L — 43.5 (2020-04-23) YOLOv4-M — 43.0 (2020-04-23) YOLOv4-S — 41.2 (2020-04-23) YOLOv4-L — 43.5 (2020-04-23) YOLOv4-M — 43.0 (2020-04-23) YOLOv4-S — 41.2 (2020-04-23) YOLOv4-L — 43.5 (2020-04-23) YOLOv4-M — 43.0 (2020-04-23) YOLOv4-S — 41.2 (2020-04-23) YOLOv4-L — 43.5 (2020-04-23) YOLOv4-M — 43.0 (2020-04-23) YOLOv4-S — 41.2 (2020-04-23) YOLOv4-L — 43.5 (2020-04-23) YOLOv4-M — 43.0 (2020-04-23) YOLOv4-S — 41.2 (2020-04-23) Faster RCNN-FPN+ — 42.0 (2020-05-26) Faster RCNN-FPN+ — 42.0 (2020-05-26) Faster RCNN-FPN+ — 42.0 (2020-05-26) Faster RCNN-FPN+ — 42.0 (2020-05-26) Faster RCNN-FPN+ — 42.0 (2020-05-26) PRB-FPN6-E-ELAN(1280) — 56.9 (2020-12-03) PRB-FPN-MSP — 53.3 (2020-12-03) PRB-FPN-ELAN — 52.5 (2020-12-03) PRB-FPN-CSP — 51.8 (2020-12-03) PRB-FPN6-E-ELAN(1280) — 56.9 (2020-12-03) PRB-FPN-MSP — 53.3 (2020-12-03) PRB-FPN-ELAN — 52.5 (2020-12-03) PRB-FPN-CSP — 51.8 (2020-12-03) PRB-FPN6-E-ELAN(1280) — 56.9 (2020-12-03) PRB-FPN-MSP — 53.3 (2020-12-03) PRB-FPN-ELAN — 52.5 (2020-12-03) PRB-FPN-CSP — 51.8 (2020-12-03) PRB-FPN6-E-ELAN(1280) — 56.9 (2020-12-03) PRB-FPN-MSP — 53.3 (2020-12-03) PRB-FPN-ELAN — 52.5 (2020-12-03) PRB-FPN-CSP — 51.8 (2020-12-03) PRB-FPN6-E-ELAN(1280) — 56.9 (2020-12-03) PRB-FPN-MSP — 53.3 (2020-12-03) PRB-FPN-ELAN — 52.5 (2020-12-03) PRB-FPN-CSP — 51.8 (2020-12-03) YOLOR-D6 — 55.4 (2021-05-10) YOLOR-E6 — 54.8 (2021-05-10) YOLOR-W6 — 54.1 (2021-05-10) YOLOR-P6D — 53.0 (2021-05-10) YOLOR-P6 — 52.6 (2021-05-10) YOLOR-D6 — 55.4 (2021-05-10) YOLOR-E6 — 54.8 (2021-05-10) YOLOR-W6 — 54.1 (2021-05-10) YOLOR-P6D — 53.0 (2021-05-10) YOLOR-P6 — 52.6 (2021-05-10) YOLOR-D6 — 55.4 (2021-05-10) YOLOR-E6 — 54.8 (2021-05-10) YOLOR-W6 — 54.1 (2021-05-10) YOLOR-P6D — 53.0 (2021-05-10) YOLOR-P6 — 52.6 (2021-05-10) YOLOR-D6 — 55.4 (2021-05-10) YOLOR-E6 — 54.8 (2021-05-10) YOLOR-W6 — 54.1 (2021-05-10) YOLOR-P6D — 53.0 (2021-05-10) YOLOR-P6 — 52.6 (2021-05-10) YOLOR-D6 — 55.4 (2021-05-10) YOLOR-E6 — 54.8 (2021-05-10) YOLOR-W6 — 54.1 (2021-05-10) YOLOR-P6D — 53.0 (2021-05-10) YOLOR-P6 — 52.6 (2021-05-10) YOLOv5-X — 50.4 (2021-07-18) YOLOv5-X — 50.4 (2021-07-18) YOLOv5-X — 50.4 (2021-07-18) YOLOv5-X — 50.4 (2021-07-18) YOLOv5-X — 50.4 (2021-07-18) PP-YOLOE+_X — 54.7 (2022-03-30) PP-YOLOE+_L(distillation) — 54.0 (2022-03-30) PP-YOLOE+_L — 52.9 (2022-03-30) YOLOv3 — 51.0 (2022-03-30) PP-YOLOE+_M — 49.8 (2022-03-30) PP-YOLOE+_X — 54.7 (2022-03-30) PP-YOLOE+_L(distillation) — 54.0 (2022-03-30) PP-YOLOE+_L — 52.9 (2022-03-30) YOLOv3 — 51.0 (2022-03-30) PP-YOLOE+_M — 49.8 (2022-03-30) PP-YOLOE+_X — 54.7 (2022-03-30) PP-YOLOE+_L(distillation) — 54.0 (2022-03-30) PP-YOLOE+_L — 52.9 (2022-03-30) YOLOv3 — 51.0 (2022-03-30) PP-YOLOE+_M — 49.8 (2022-03-30) PP-YOLOE+_X — 54.7 (2022-03-30) PP-YOLOE+_L(distillation) — 54.0 (2022-03-30) PP-YOLOE+_L — 52.9 (2022-03-30) YOLOv3 — 51.0 (2022-03-30) PP-YOLOE+_M — 49.8 (2022-03-30) PP-YOLOE+_X — 54.7 (2022-03-30) PP-YOLOE+_L(distillation) — 54.0 (2022-03-30) PP-YOLOE+_L — 52.9 (2022-03-30) YOLOv3 — 51.0 (2022-03-30) PP-YOLOE+_M — 49.8 (2022-03-30) D-FINE-L+ — 57.1 (2022-06-19) D-FINE-L+ — 57.1 (2022-06-19) D-FINE-L+ — 57.1 (2022-06-19) D-FINE-L+ — 57.1 (2022-06-19) D-FINE-L+ — 57.1 (2022-06-19) YOLOv7-E6E(1280) — 56.8 (2022-07-06) YOLOv7-D6(1280) — 56.6 (2022-07-06) YOLOv7-E6(1280) — 56.0 (2022-07-06) YOLOv7-W6(1280) — 54.9 (2022-07-06) YOLOv7-X — 53.1 (2022-07-06) YOLOv7-E6E(1280) — 56.8 (2022-07-06) YOLOv7-D6(1280) — 56.6 (2022-07-06) YOLOv7-E6(1280) — 56.0 (2022-07-06) YOLOv7-W6(1280) — 54.9 (2022-07-06) YOLOv7-X — 53.1 (2022-07-06) YOLOv7-E6E(1280) — 56.8 (2022-07-06) YOLOv7-D6(1280) — 56.6 (2022-07-06) YOLOv7-E6(1280) — 56.0 (2022-07-06) YOLOv7-W6(1280) — 54.9 (2022-07-06) YOLOv7-X — 53.1 (2022-07-06) YOLOv7-E6E(1280) — 56.8 (2022-07-06) YOLOv7-D6(1280) — 56.6 (2022-07-06) YOLOv7-E6(1280) — 56.0 (2022-07-06) YOLOv7-W6(1280) — 54.9 (2022-07-06) YOLOv7-X — 53.1 (2022-07-06) YOLOv7-E6E(1280) — 56.8 (2022-07-06) YOLOv7-D6(1280) — 56.6 (2022-07-06) YOLOv7-E6(1280) — 56.0 (2022-07-06) YOLOv7-W6(1280) — 54.9 (2022-07-06) YOLOv7-X — 53.1 (2022-07-06) YOLOv6-L6(1280) — 57.2 (2022-09-07) YOLOv6-L6(1280) — 57.2 (2022-09-07) YOLOv6-L6(1280) — 57.2 (2022-09-07) YOLOv6-L6(1280) — 57.2 (2022-09-07) YOLOv6-L6(1280) — 57.2 (2022-09-07) DAMO-YOLO-L — 50.8 (2022-11-23) DAMO-YOLO-M — 49.2 (2022-11-23) DAMO-YOLO-S — 46.0 (2022-11-23) DAMO-YOLO-T — 42.0 (2022-11-23) DAMO-YOLO-L — 50.8 (2022-11-23) DAMO-YOLO-M — 49.2 (2022-11-23) DAMO-YOLO-S — 46.0 (2022-11-23) DAMO-YOLO-T — 42.0 (2022-11-23) DAMO-YOLO-L — 50.8 (2022-11-23) DAMO-YOLO-M — 49.2 (2022-11-23) DAMO-YOLO-S — 46.0 (2022-11-23) DAMO-YOLO-T — 42.0 (2022-11-23) DAMO-YOLO-L — 50.8 (2022-11-23) DAMO-YOLO-M — 49.2 (2022-11-23) DAMO-YOLO-S — 46.0 (2022-11-23) DAMO-YOLO-T — 42.0 (2022-11-23) DAMO-YOLO-L — 50.8 (2022-11-23) DAMO-YOLO-M — 49.2 (2022-11-23) DAMO-YOLO-S — 46.0 (2022-11-23) DAMO-YOLO-T — 42.0 (2022-11-23) RTMDet — 52.8 (2022-12-14) RTMDet — 52.8 (2022-12-14) RTMDet — 52.8 (2022-12-14) RTMDet — 52.8 (2022-12-14) RTMDet — 52.8 (2022-12-14) YOLOv6-L — 52.8 (2023-01-13) YOLOv6-S6(1280) — 50.3 (2023-01-13) YOLOv6-M — 50.0 (2023-01-13) YOLOv6-S — 45.0 (2023-01-13) YOLOv6-N — 37.5 (2023-01-13) YOLOv6-L — 52.8 (2023-01-13) YOLOv6-S6(1280) — 50.3 (2023-01-13) YOLOv6-M — 50.0 (2023-01-13) YOLOv6-S — 45.0 (2023-01-13) YOLOv6-N — 37.5 (2023-01-13) YOLOv6-L — 52.8 (2023-01-13) YOLOv6-S6(1280) — 50.3 (2023-01-13) YOLOv6-M — 50.0 (2023-01-13) YOLOv6-S — 45.0 (2023-01-13) YOLOv6-N — 37.5 (2023-01-13) YOLOv6-L — 52.8 (2023-01-13) YOLOv6-S6(1280) — 50.3 (2023-01-13) YOLOv6-M — 50.0 (2023-01-13) YOLOv6-S — 45.0 (2023-01-13) YOLOv6-N — 37.5 (2023-01-13) YOLOv6-L — 52.8 (2023-01-13) YOLOv6-S6(1280) — 50.3 (2023-01-13) YOLOv6-M — 50.0 (2023-01-13) YOLOv6-S — 45.0 (2023-01-13) YOLOv6-N — 37.5 (2023-01-13) RT-DETR-H(640) — 56.3 (2023-04-17) RT-DETR-X — 54.8 (2023-04-17) RT-DETR-R101 — 54.3 (2023-04-17) RT-DETR-L — 53.0 (2023-04-17) RT-DETR-H(640) — 56.3 (2023-04-17) RT-DETR-X — 54.8 (2023-04-17) RT-DETR-R101 — 54.3 (2023-04-17) RT-DETR-L — 53.0 (2023-04-17) RT-DETR-H(640) — 56.3 (2023-04-17) RT-DETR-X — 54.8 (2023-04-17) RT-DETR-R101 — 54.3 (2023-04-17) RT-DETR-L — 53.0 (2023-04-17) RT-DETR-H(640) — 56.3 (2023-04-17) RT-DETR-X — 54.8 (2023-04-17) RT-DETR-R101 — 54.3 (2023-04-17) RT-DETR-L — 53.0 (2023-04-17) RT-DETR-H(640) — 56.3 (2023-04-17) RT-DETR-X — 54.8 (2023-04-17) RT-DETR-R101 — 54.3 (2023-04-17) RT-DETR-L — 53.0 (2023-04-17) YOLOv9-E — 55.6 (2024-02-21) GELAN-E — 55.0 (2024-02-21) YOLOv9-C — 53.0 (2024-02-21) GELAN-C — 52.5 (2024-02-21) YOLOv9-M — 51.4 (2024-02-21) GELAN-M — 51.1 (2024-02-21) YOLOv9-S — 46.8 (2024-02-21) GELAN-S — 46.7 (2024-02-21) YOLOv9-E — 55.6 (2024-02-21) GELAN-E — 55.0 (2024-02-21) YOLOv9-C — 53.0 (2024-02-21) GELAN-C — 52.5 (2024-02-21) YOLOv9-M — 51.4 (2024-02-21) GELAN-M — 51.1 (2024-02-21) YOLOv9-S — 46.8 (2024-02-21) GELAN-S — 46.7 (2024-02-21) YOLOv9-E — 55.6 (2024-02-21) GELAN-E — 55.0 (2024-02-21) YOLOv9-C — 53.0 (2024-02-21) GELAN-C — 52.5 (2024-02-21) YOLOv9-M — 51.4 (2024-02-21) GELAN-M — 51.1 (2024-02-21) YOLOv9-S — 46.8 (2024-02-21) GELAN-S — 46.7 (2024-02-21) YOLOv9-E — 55.6 (2024-02-21) GELAN-E — 55.0 (2024-02-21) YOLOv9-C — 53.0 (2024-02-21) GELAN-C — 52.5 (2024-02-21) YOLOv9-M — 51.4 (2024-02-21) GELAN-M — 51.1 (2024-02-21) YOLOv9-S — 46.8 (2024-02-21) GELAN-S — 46.7 (2024-02-21) YOLOv9-E — 55.6 (2024-02-21) GELAN-E — 55.0 (2024-02-21) YOLOv9-C — 53.0 (2024-02-21) GELAN-C — 52.5 (2024-02-21) YOLOv9-M — 51.4 (2024-02-21) GELAN-M — 51.1 (2024-02-21) YOLOv9-S — 46.8 (2024-02-21) GELAN-S — 46.7 (2024-02-21) YOLOv5n — 28.0 (2024-03-22) YOLOv5n — 28.0 (2024-03-22) YOLOv5n — 28.0 (2024-03-22) YOLOv5n — 28.0 (2024-03-22) YOLOv5n — 28.0 (2024-03-22) YOLOv10-X — 54.4 (2024-05-23) YOLOv10-L — 53.4 (2024-05-23) YOLOv10-B — 52.7 (2024-05-23) YOLOv10-M — 51.3 (2024-05-23) YOLOv10-S — 46.8 (2024-05-23) YOLOv10-N — 39.5 (2024-05-23) YOLOv10-X — 54.4 (2024-05-23) YOLOv10-L — 53.4 (2024-05-23) YOLOv10-B — 52.7 (2024-05-23) YOLOv10-M — 51.3 (2024-05-23) YOLOv10-S — 46.8 (2024-05-23) YOLOv10-N — 39.5 (2024-05-23) YOLOv10-X — 54.4 (2024-05-23) YOLOv10-L — 53.4 (2024-05-23) YOLOv10-B — 52.7 (2024-05-23) YOLOv10-M — 51.3 (2024-05-23) YOLOv10-S — 46.8 (2024-05-23) YOLOv10-N — 39.5 (2024-05-23) YOLOv10-X — 54.4 (2024-05-23) YOLOv10-L — 53.4 (2024-05-23) YOLOv10-B — 52.7 (2024-05-23) YOLOv10-M — 51.3 (2024-05-23) YOLOv10-S — 46.8 (2024-05-23) YOLOv10-N — 39.5 (2024-05-23) YOLOv10-X — 54.4 (2024-05-23) YOLOv10-L — 53.4 (2024-05-23) YOLOv10-B — 52.7 (2024-05-23) YOLOv10-M — 51.3 (2024-05-23) YOLOv10-S — 46.8 (2024-05-23) YOLOv10-N — 39.5 (2024-05-23) MAFYOLOm — 51.2 (2024-07-05) MAFYOLOs — 47.4 (2024-07-05) MAFYOLOn — 42.4 (2024-07-05) MAFYOLOm — 51.2 (2024-07-05) MAFYOLOs — 47.4 (2024-07-05) MAFYOLOn — 42.4 (2024-07-05) MAFYOLOm — 51.2 (2024-07-05) MAFYOLOs — 47.4 (2024-07-05) MAFYOLOn — 42.4 (2024-07-05) MAFYOLOm — 51.2 (2024-07-05) MAFYOLOs — 47.4 (2024-07-05) MAFYOLOn — 42.4 (2024-07-05) MAFYOLOm — 51.2 (2024-07-05) MAFYOLOs — 47.4 (2024-07-05) MAFYOLOn — 42.4 (2024-07-05) D-FINE-X+ — 59.3 (2024-10-17) D-FINE-X — 55.8 (2024-10-17) D-FINE-M+ — 55.1 (2024-10-17) D-FINE-L — 54.0 (2024-10-17) D-FINE-M — 52.3 (2024-10-17) D-FINE-S+ — 50.7 (2024-10-17) D-FINE-S — 48.5 (2024-10-17) D-FINE-X+ — 59.3 (2024-10-17) D-FINE-X — 55.8 (2024-10-17) D-FINE-M+ — 55.1 (2024-10-17) D-FINE-L — 54.0 (2024-10-17) D-FINE-M — 52.3 (2024-10-17) D-FINE-S+ — 50.7 (2024-10-17) D-FINE-S — 48.5 (2024-10-17) D-FINE-X+ — 59.3 (2024-10-17) D-FINE-X — 55.8 (2024-10-17) D-FINE-M+ — 55.1 (2024-10-17) D-FINE-L — 54.0 (2024-10-17) D-FINE-M — 52.3 (2024-10-17) D-FINE-S+ — 50.7 (2024-10-17) D-FINE-S — 48.5 (2024-10-17) D-FINE-X+ — 59.3 (2024-10-17) D-FINE-X — 55.8 (2024-10-17) D-FINE-M+ — 55.1 (2024-10-17) D-FINE-L — 54.0 (2024-10-17) D-FINE-M — 52.3 (2024-10-17) D-FINE-S+ — 50.7 (2024-10-17) D-FINE-S — 48.5 (2024-10-17) D-FINE-X+ — 59.3 (2024-10-17) D-FINE-X — 55.8 (2024-10-17) D-FINE-M+ — 55.1 (2024-10-17) D-FINE-L — 54.0 (2024-10-17) D-FINE-M — 52.3 (2024-10-17) D-FINE-S+ — 50.7 (2024-10-17) D-FINE-S — 48.5 (2024-10-17) YOLOv11x — 54.7 (2024-10-23) YOLOv11l — 53.4 (2024-10-23) YOLOv11m — 51.5 (2024-10-23) YOLOv11s — 47.0 (2024-10-23) YOLOv11n — 39.5 (2024-10-23) YOLOv11x — 54.7 (2024-10-23) YOLOv11l — 53.4 (2024-10-23) YOLOv11m — 51.5 (2024-10-23) YOLOv11s — 47.0 (2024-10-23) YOLOv11n — 39.5 (2024-10-23) YOLOv11x — 54.7 (2024-10-23) YOLOv11l — 53.4 (2024-10-23) YOLOv11m — 51.5 (2024-10-23) YOLOv11s — 47.0 (2024-10-23) YOLOv11n — 39.5 (2024-10-23) YOLOv11x — 54.7 (2024-10-23) YOLOv11l — 53.4 (2024-10-23) YOLOv11m — 51.5 (2024-10-23) YOLOv11s — 47.0 (2024-10-23) YOLOv11n — 39.5 (2024-10-23) YOLOv11x — 54.7 (2024-10-23) YOLOv11l — 53.4 (2024-10-23) YOLOv11m — 51.5 (2024-10-23) YOLOv11s — 47.0 (2024-10-23) YOLOv11n — 39.5 (2024-10-23) DEIM-D-FINE-X+ — 59.5 (2024-12-05) DEIM-D-FINE-X — 56.5 (2024-12-05) DEIM-D-FINE-L — 54.7 (2024-12-05) DEIM-D-FINE-M — 52.7 (2024-12-05) DEIM-D-FINE-S — 49.0 (2024-12-05) DEIM-D-FINE-X+ — 59.5 (2024-12-05) DEIM-D-FINE-X — 56.5 (2024-12-05) DEIM-D-FINE-L — 54.7 (2024-12-05) DEIM-D-FINE-M — 52.7 (2024-12-05) DEIM-D-FINE-S — 49.0 (2024-12-05) DEIM-D-FINE-X+ — 59.5 (2024-12-05) DEIM-D-FINE-X — 56.5 (2024-12-05) DEIM-D-FINE-L — 54.7 (2024-12-05) DEIM-D-FINE-M — 52.7 (2024-12-05) DEIM-D-FINE-S — 49.0 (2024-12-05) DEIM-D-FINE-X+ — 59.5 (2024-12-05) DEIM-D-FINE-X — 56.5 (2024-12-05) DEIM-D-FINE-L — 54.7 (2024-12-05) DEIM-D-FINE-M — 52.7 (2024-12-05) DEIM-D-FINE-S — 49.0 (2024-12-05) DEIM-D-FINE-X+ — 59.5 (2024-12-05) DEIM-D-FINE-X — 56.5 (2024-12-05) DEIM-D-FINE-L — 54.7 (2024-12-05) DEIM-D-FINE-M — 52.7 (2024-12-05) DEIM-D-FINE-S — 49.0 (2024-12-05) YOLOv12x — 55.2 (2025-02-20) YOLOv12l — 53.7 (2025-02-20) YOLOv12m — 52.5 (2025-02-20) YOLOv12s — 48.0 (2025-02-20) YOLOv12n — 40.6 (2025-02-20) YOLOv12x — 55.2 (2025-02-20) YOLOv12l — 53.7 (2025-02-20) YOLOv12m — 52.5 (2025-02-20) YOLOv12s — 48.0 (2025-02-20) YOLOv12n — 40.6 (2025-02-20) YOLOv12x — 55.2 (2025-02-20) YOLOv12l — 53.7 (2025-02-20) YOLOv12m — 52.5 (2025-02-20) YOLOv12s — 48.0 (2025-02-20) YOLOv12n — 40.6 (2025-02-20) YOLOv12x — 55.2 (2025-02-20) YOLOv12l — 53.7 (2025-02-20) YOLOv12m — 52.5 (2025-02-20) YOLOv12s — 48.0 (2025-02-20) YOLOv12n — 40.6 (2025-02-20) YOLOv12x — 55.2 (2025-02-20) YOLOv12l — 53.7 (2025-02-20) YOLOv12m — 52.5 (2025-02-20) YOLOv12s — 48.0 (2025-02-20) YOLOv12n — 40.6 (2025-02-20) YOLOv3-L — 33.0 (2018-04-08) YOLOv4-L — 43.5 (2020-04-23) PRB-FPN6-E-ELAN(1280) — 56.9 (2020-12-03) D-FINE-L+ — 57.1 (2022-06-19) YOLOv6-L6(1280) — 57.2 (2022-09-07) D-FINE-X+ — 59.3 (2024-10-17) DEIM-D-FINE-X+ — 59.5 (2024-12-05)
RankModel box APFPS (V100, b=1) Extra Training Data PaperCodeYear
1 DEIM-D-FINE-X+ 59.578 (T4) DEIM: DETR with Improved Matching for Fast Convergence shihuahuang95/deim 2024
2 D-FINE-X+ 59.378 (T4) D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement huggingface/transformers · Peterande/D-FINE · open-edge-platform/training_extensions · +2 2024
3 YOLOv6-L6(1280) 57.226 YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications PaddlePaddle/PaddleDetection · meituan/yolov6 · open-mmlab/mmyolo · +4 2022
4 D-FINE-L+ 57.1124 (T4) 0/1 Deep Neural Networks via Block Coordinate Descent 2022
5 PRB-FPN6-E-ELAN(1280) 56.931 Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection pingyang1117/PRBNet_PyTorch 2020
6 YOLOv7-E6E(1280) 56.836 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors pjreddie/darknet · AlexeyAB/darknet · wongkinyiu/yolov7 · +18 2022
7 YOLOv7-D6(1280) 56.644 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors pjreddie/darknet · AlexeyAB/darknet · wongkinyiu/yolov7 · +18 2022
8 DEIM-D-FINE-X 56.578 (T4) DEIM: DETR with Improved Matching for Fast Convergence shihuahuang95/deim 2024
9 RT-DETR-H(640) 56.340 (T4) DETRs Beat YOLOs on Real-time Object Detection huggingface/transformers · ultralytics/ultralytics · PaddlePaddle/PaddleDetection · +6 2023
10 YOLOv7-E6(1280) 5656 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors pjreddie/darknet · AlexeyAB/darknet · wongkinyiu/yolov7 · +18 2022
11 D-FINE-X 55.878 (T4) D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement huggingface/transformers · Peterande/D-FINE · open-edge-platform/training_extensions · +2 2024
12 YOLOv9-E 55.6– YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information ultralytics/ultralytics · wongkinyiu/yolov9 · WongKinYiu/YOLO · +2 2024
13 YOLOR-D6 55.430 ✓ You Only Learn One Representation: Unified Network for Multiple Tasks WongKinYiu/yolor · leondgarse/keras_cv_attention_models · SnailDev/github-hot-hub · +6 2021
14 YOLOv12x 55.285 (T4) YOLOv12: A Breakdown of the Key Architectural Features 2025
15 D-FINE-M+ 55.1178 (T4) ✓ D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement huggingface/transformers · Peterande/D-FINE · open-edge-platform/training_extensions · +2 2024
16 GELAN-E 55.0– YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information ultralytics/ultralytics · wongkinyiu/yolov9 · WongKinYiu/YOLO · +2 2024
17 YOLOv7-W6(1280) 54.984 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors pjreddie/darknet · AlexeyAB/darknet · wongkinyiu/yolov7 · +18 2022
18 RT-DETR-X 54.874 (T4) DETRs Beat YOLOs on Real-time Object Detection huggingface/transformers · ultralytics/ultralytics · PaddlePaddle/PaddleDetection · +6 2023
18 YOLOR-E6 54.837 ✓ You Only Learn One Representation: Unified Network for Multiple Tasks WongKinYiu/yolor · leondgarse/keras_cv_attention_models · SnailDev/github-hot-hub · +6 2021
20 DEIM-D-FINE-L 54.7124 (T4) DEIM: DETR with Improved Matching for Fast Convergence shihuahuang95/deim 2024
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