| # This config is for running Yolov8 training locally. | |
| train: dataset/train # contains your training data | |
| val: dataset/valid # contains your validation data (start with ~10% of your training data here) | |
| test: dataset/test # contatins your test data (optional). You only need this if you are going to run test scripts from this directory. I would place the images in the '/generate_input'-folder instead. | |
| # Classes configuration | |
| nc: 2 # number of classes | |
| names: ['watermark', 'watermark'] | |
| # Example with multiple classes (https://universe.roboflow.com/yolomanga/speechballoon_comic) | |
| # nc: 7 # number of classes | |
| # names: ['SpeechBalloons', 'General_speech', 'hit_sound', 'blast_sound', 'narration speech', 'thought_speech', 'roar'] | |
| # Use the /dataset/CocoGetClasses.py-script to get the class-info from your coco-dataset if you don't know the number of classes and their names |