hugging-face-vision-trainer

Vision Model Training on Hugging Face Jobs

Train object detection, image classification, and SAM/SAM2 segmentation models on managed cloud GPUs. No local GPU setup required—results are automatically saved to the Hugging Face Hub.

Detailed Guide

Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

When to Use This Skill

Use this skill when users want to:

• Fine-tune object detection models (D-FINE, RT-DETR v2, DETR, YOLOS) on cloud GPUs or local
• Fine-tune image classification models (timm: MobileNetV3, MobileViT, ResNet, ViT/DINOv3, or any Transformers classifier) on cloud GPUs or local
• Fine-tune SAM or SAM2 models for segmentation / image matting using bbox or point prompts
• Train bounding-box detectors on custom datasets
• Train image classifiers on custom datasets
• Train segmentation models on custom mask datasets with prompts
• Run vision training jobs on Hugging Face Jobs infrastructure
• Ensure trained vision models are permanently saved to the Hub

Prerequisites Checklist

Before starting any training job, verify:

Account & Authentication

• Hugging Face Account with Pro