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YOLOv4-tiny is smaller version of YOLO v4 that emphasizes speed in model predictions, which is perfect for limited compute environments (even CPUs) like mobile phones or embedded machine learning.
This YOLO v4 tiny tutorial breaks down what YOLOv4-tiny is, preparing labeled bounding box data for object detection, training a YOLO v4 tiny Darknet model with free resources on Google Colab on your own dataset, and using that model to perform inference. In this example, we train our example model on infrared thermal images.
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Tools:
Roboflow - roboflow.com
Public datasets - public.roboflo...
Colab notebook - models.roboflo...
Blog post - blog.roboflow....
Create Labeled Data
CVAT - blog.roboflow....
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