Prepare yolov3 on the self-built data set (1): Download the Open Images V4 data set quickly and accurately according to the object type (single type & multi type), save it in yolo3 annotation format and verify with yolo_mark (with python script). - Code World

Prepare yolov3 on the self-built data set (1): Download the Open Images V4 data set quickly and accurately according to the object type (single type & multi type), save it in yolo3 annotation format and verify with yolo_mark (with python script).

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Prepare yolov3 on the self-built data set (1): Download the Open Images V4 data set quickly and accurately according to the object type (single type & multi type), save it in yolo3 annotation format and verify with yolo_mark (with python script).

Prepare yolov3 on the self-built data set (4): Convert the brainwash label of the dense head detection data set into yolo label and verify it with yolo_mark (with python script)

Prepare for training yolov3 on the self-built data set (2): Raspberry Pi automatically collects pictures, tensorflow_label_tool downloads pictures, yolo_mark annotation and cleaning data (with python script)

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