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NoseNet

Object Detection
PyTorch
yolov5
transfer-learning
thermal-imaging
infrared-thermography
face-detection
nose-detection
Model card Files
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NoseNet / weights /README.md
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Add NoseNet model cards and checkpoints
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Checkpoint layout

  • face_visibility/best.pt: YOLOv5m face/no-face checkpoint. Class mapping: 0 = face, 1 = no_face.
  • nose_detection/best.pt: YOLOv5m nose-localization checkpoint. Class mapping: 0 = nose.

These are PyTorch checkpoint files. Load them only in a trusted Python environment and use the compatible YOLOv5 code distributed with the NoseNet implementation.