Fine-tune vision models on Hugging Face

Fine-tune vision models (object detection, classification, segmentation) using Hugging Face

When fine-tuning vision models (detection/classification/segmentation) for domain-specific image tasks with automatic Hub integration.

• · image dataset with labels
• · vision model name from Hub
• · training hyperparameters

• · fine-tuned vision model
• · pushed to Hub
• · evaluation metrics

• · Hugging Face Transformers
• · Hugging Face Datasets
• · timm

labeled image dataset ≥100 samples per class, model checkpoint available on Hub

• · class imbalance causing poor minority performance
• · augmentation not applied causing overfitting
• · image resolution mismatch with model expectations

• · evaluation metrics computed (mAP, accuracy, F1)