Attempt to train the Yolov5 model using the provided sample road sign dataset that is known to work.
This is to ensure that the training works correctly prior to being performed on the final Pokémon dataset.
[x] Add yaml file road_sign_data.yaml to specify location of image directories and labels
[x] Edit the configurations file for the yolov5 training script hyp.scratch.yaml to reflect desired parameters
[x] Rename annotations directory to labels
[x] Run the yolov5 training algorithm train.py on the prepared road sign dataset (requires completed #26)
[x] Evaluate the training results and ensure they match those of the tutorial
[x] Test the resulting model on the provided test images using the testing script
Attempt to train the Yolov5 model using the provided sample road sign dataset that is known to work. This is to ensure that the training works correctly prior to being performed on the final Pokémon dataset.
road_sign_data.yamlto specify location of image directories and labelshyp.scratch.yamlto reflect desired parameterstrain.pyon the prepared road sign dataset (requires completed #26)