gt-audit v0.1.0
gt-audit v0.1.0 - Initial Release
Fast ground truth label validation for object detection datasets.
Features
- YOLO model inference via ONNX Runtime
- Parallel image processing with rayon
- JSON report generation
- CI/CD ready with fail thresholds
- Support for YOLO format datasets
Usage
# Validate dataset with YOLO model
gt-audit validate /path/to/dataset --model model.onnx --confidence 0.25 --output report.json
# Show dataset info
gt-audit info /path/to/dataset
# CI/CD mode - fail if too many issues
gt-audit validate /path/to/dataset --model model.onnx --fail-on-high 10Issue Types
- class_mismatch (High): Model detects different class than GT
- missing_label (Medium): Model detects object not in GT
- spurious_label (Low): GT has label model doesn't detect
Installation
cargo install --git https://github.com/ARTIFACTIQ/gt-auditOr build from source:
git clone https://github.com/ARTIFACTIQ/gt-audit
cd gt-audit
cargo build --release