👋 Hello @giantonti1801, thank you for reaching out to us at Ultralytics 🚀! This is an automated response, and an Ultralytics engineer will assist you soon.

You’re tackling an interesting challenge with incremental learning. Let's go through some steps and tips to help you succeed:

Incremental Training with YOLOv8

It looks like you're trying to add new classes without losing the knowledge of the existing ones. Here are some recommendations:

1. Verify Class Mapping: Ensure that your classes are correctly mapped in your YAML files during the second training:

   nc: 2
   names: ['persona', 'car']

   This ensures that the model knows both the old and new classes.

2. Use Consistent Annotation: Confirm that all datasets are correctly annotated with the same class index for consistency across incremental training sessions.

3. Gradually Increase freeze: Freezing layers prevents them from updating during training, which might affect your results if too many are frozen. You've tried various settings; consider starting with a lower number and gradually increasing as necessary.

4. Learning Rate Adjustments: Sometimes, a lower learning rate can prevent overwriting the learned features of previous classes. Test slightly smaller values than you've used before:

   lr0=0.0001

5. Fine-tuning Strategy: Use different training strategies, such as fine-tuning previously trained models with different batch sizes and epochs to strike a balance.

Example Training Command

Here's a refined training command:

yolo train data='/content/dataset/persona.v1/data.yaml' model='yolov8m.pt' epochs=50 batch=64 imgsz=640 lr0=0.0001 name='initial_train'
yolo train data='/content/dataset/carro.v1/data.yaml' model='/content/runs/detect/initial_train/weights/best.pt' epochs=50 batch=64 imgsz=640 lr0=0.0001 freeze=10 name='incremental_train'

Resources and Community Support

For detailed guides and support, check out these resources:

• Docs: Ultralytics Documentation
• Discord: Real-time support on Discord 🎧
• Discussions: Ultralytics Community

Keep experimenting and tweaking your settings. The community and the Ultralytics team are here to support you. If you have more specific details or logs, feel free to share them to get more precise assistance.

Happy training! 😊