YOLOv4 PyTorch TXT

Overview

When YOLOv4 was ported to PyTorch, they decided to use the same annotation format as the Keras implementation of YOLOv3. Because the naming convention was a bit unclear, Roboflow decided that even though the underlying format definition was the same, we would keep the namespaces separate to avoid confusion about which format to use.

Note: this model has been deprecated now that YOLOv5 (PyTorch) has been released. We do not recommend using it anymore. Use YOLOv5 or YOLOv4 Darknet.

Format Description

Below, learn the structure of YOLOv4 PyTorch TXT.

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000038.jpg 43,46,100,108,1 244,51,304,112,1
000025.jpg 64,19,180,140,1 204,75,286,177,1 340,0,468,138,1
000087.jpg 228,41,292,108,1
000026.jpg 95,0,167,63,1 167,45,231,123,1
000068.jpg 179,4,243,88,1 40,85,76,122,1 69,64,115,108,1 2,110,29,144,1
000018.jpg 128,38,149,61,1
000037.jpg 47,22,202,199,1
000020.jpg 95,32,123,65,1 149,93,176,120,1

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