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YOLO in Production: Train, Optimize, Deploy
The full production path: train a custom YOLO on your data in Colab, squeeze it with quantization and export (ONNX/TensorRT), pick the right deployment target, and monitor for the drift that will come.
3 sections·7 lessons
What you'll learn
1. Training a Custom Detector
- Video: train custom YOLO models in Google Colab
- The training run that works first time
- Check: training
2. Optimization: Same Accuracy, Fraction of the Cost
- Export, quantize, accelerate
- Check: optimization
3. Deployment Targets & Production Reality
- Cloud, edge, or browser — and surviving contact with reality
- Final check: deployment
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