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huggingface-vision-trainer

An AI agent skill from huggingface/skills, scored 79 out of 100 by code.

79/ 100B

Code score by group

  • Spec18/20
  • Description13/20
  • Procedure12/15
  • Done criteria13/15
  • Resources7/10
  • Scripts6/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Description (7), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image clas…

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
huggingface/skills
Folder
skills/huggingface-vision-trainer
License
Apache-2.0
GitHub stars
11,339
SKILL.md lines
594
Other files
11

Add huggingface-vision-trainer to your agent

npx skills add huggingface/skills --skill huggingface-vision-trainer

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

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All skills in huggingface/skills

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.