![]() Once you’ve executed the script, you should find a trainval.json file in your current directory-this is the COCO dataset JSON annotation file. If you are missing one of these files, make sure you install it with pip. Three pip packages-numpy, pillow, and labelme-will determine the script. You can implement the file conversion by passing in a single argument (the image directory path): You can find the labelme2coco.py file in the tutorial GitHub repo. Step 2: Converting Labelme Annotation Files to COCO Format These files are LabelImg annotation files, which you can convert and combine into a single COCO dataset (a JSON annotation file).
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