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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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  2. SOTA
  3. 객체 검출
  4. Object Detection On Sfchd

Object Detection On Sfchd

평가 지표

mAP@0.50
mAP@0.5:0.95

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
mAP@0.50
mAP@0.5:0.95
Paper TitleRepository
SSD72.841.5Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
VFNet76.451.0Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
Faster RCNN76.450.3Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
TOOD+SCALE79.352.4Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
FCOS+SCALE76.349.5Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
YOLOv8+SCALE78.653.3Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
FCOS76.449.6Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
TOOD78.952.3Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
RetinaNet75.948.9Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
VFNet+SCALE76.651.4Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
YOLOv877.952.2Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
YOLOv574.149.6Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
0 of 12 row(s) selected.
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