augment
01Skill Claude CodeCodex
Generate synthetic training data variations using image transforms. Increases dataset diversity with flips, brightness jitter, and noise. Use after labeling.
not rated 96
+2 5mo ago A 28 tokens
96Stars on the repository
7Mods indexed here, across every type
5mo agoLast push, which is what freshness is scored on
noneNo LICENSE: all rights reserved, so bodies are not copied
collect
02Skill Claude CodeCodex
Download YouTube videos and extract frames using yt-dlp and ffmpeg for YOLO training data. Use when you need to gather frames from a video URL.
not rated 96
+2 5mo ago A 34 tokens
eval
03Skill Claude CodeCodex
Evaluate trained YOLO model accuracy with mAP metrics and per-class error analysis. Identifies failure cases for targeted improvement. Use after training.
not rated 96
+2 5mo ago A 30 tokens
label
04Skill Claude CodeCodex
Auto-label frames with bounding boxes. Supports four modes — CUA+SAM (best accuracy, OpenAI CUA clicks + SAM segmentation), Gemini (native bbox detection), GPT vision (API fallback), or Codex vision subagents (no API keys). Parallel dispatch via git worktrees. Use after collecting frames.
not rated 96
+2 5mo ago A 65 tokens
train
05Skill Claude CodeCodex
Train a YOLO model on labeled dataset using ultralytics. Splits data into train/val, generates dataset.yaml, and produces trained weights. Use after labeling and augmenting.
not rated 96
+2 5mo ago A 39 tokens
yolodex
06Skill Claude Code
Train a custom YOLO object detection model from any YouTube gameplay video. Provide a video URL and target classes, and this skill handles the entire pipeline autonomously — frame extraction, AI-powered labeling, data augmentation, training, and evaluation with iterative improvement.
not rated 96
+2 5mo ago A 56 tokens
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