hugging-face-object-detection-trainer
Object Detection Training on Hugging Face Jobs
Train object detection models on managed cloud GPUs. No local GPU setup required—results are automatically saved to the Hugging Face Hub.
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
- Train bounding-box detectors on custom datasets
- Run object detection training jobs on Hugging Face Jobs infrastructure
- Ensure trained vision models are permanently saved to the Hub
Related Skills
hugging-face-jobs— General HF Jobs infrastructure: token authentication, hardware flavors, timeout management, cost estimation, secrets, environment variables, scheduled jobs, and result persistence. Refer to the Jobs skill for any non-training-specific Jobs questions (e.g., "how do secrets work?", "what hardware is available?", "how do I pass tokens?").hugging-face-model-trainer— TRL-based language model training (SFT, DPO, GRPO). Use that skill for text/language model fine-tuning.
Local Script Dependencies
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