JolGSM Distraction Detector (RT-DETR-L)

μš΄μ „μž λΆ€μ£Όμ˜/쑸음 감지λ₯Ό μœ„ν•œ RT-DETR-L νŒŒμΈνŠœλ‹ λͺ¨λΈμž…λ‹ˆλ‹€.

클래슀

ID 클래슀 μ„€λͺ…
0 face_normal 정상 μ£Όμ‹œ μ–Όκ΅΄
1 face_distracted λΆ€μ£Όμ˜ μƒνƒœ μ–Όκ΅΄ (톡화 μž¬ν˜„)
2 phone νœ΄λŒ€ν°

ν•™μŠ΅ 정보

  • 베이슀 λͺ¨λΈ: RT-DETR-L (rtdetr-l.pt)
  • 데이터셋: AI-Hub μ‘ΈμŒμš΄μ „ μ˜ˆλ°©μ„ μœ„ν•œ μš΄μ „μž μƒνƒœ 정보 μ˜μƒ (ν†΅μ œν™˜κ²½ bbox)
  • ν•™μŠ΅ 이미지: 33,519μž₯ (train) / 4,335μž₯ (val)
  • μž…λ ₯ 해상도: 640Γ—640
  • ν•™μŠ΅ epochs: 20

μ‚¬μš©λ²•

from ultralytics import RTDETR

model = RTDETR("jolgsm-distraction-detector.pt")
results = model.predict("image.jpg", conf=0.65)
results[0].show()

ν”„λ‘œμ νŠΈ

JolGSM GitHub

Downloads last month
29
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support