lextoumbourou/notes/evaluate-image-classifier
Claude Code and agent skill by lextoumbourou/notes
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- community
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Checking that the SKILL.md file is still in the repository.
Evaluate a trained image classifier on held-out images. Use when asked for accuracy or example predictions.
Install
npx vskill@latest install lextoumbourou/notes/evaluate-image-classifierSKILL.md
Evaluate an image classifier
- Find the dataset's official test split. Load the saved model and use the same preprocessing as training.
- Run inference on the test images without training on them. Count correct predictions and total images.
- Show a few test images with their predicted and true labels, including some mistakes.
- Report the correct count, total count, accuracy, test split, and whether the model used pretrained weights.
- Keep model selection and tuning on training or validation data. Do not choose a model using the test labels.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingcode/agent-harness-working/.agents/skills/evaluate-image-classifier/SKILL.md
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