tao-train-image-classification
tao-train-image-classification is a Computer vision skill for AI agents, published by NVIDIA in the skills repository on GitHub. Skillspace rates tao-train-image-classification C (76/100) and it passed the safety scan; the rating is based on static analysis only.
PyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.) with distillation and quantization for deployment. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO image-classification (PyT) model. Trigger phrases include "train image classifier", "TAO classification", "ResNet/EfficientNet/FAN backbone classifier", "classification-pyt".
- Grade
- C
- Quality
- 76 / 100
- Safety
- Passed
- GitHub stars
- 2,517
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 92 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 3 collections
- Scope
- Vendor-specific: built around one product. Training with NVIDIA TAO, a public toolkit product
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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