senior-computer-vision
Build vision models ready for production.
What it does
Guides the preparation, training, optimization, and deployment of object detection and segmentation models.
When to use it
Use when building detection pipelines, training custom models, optimizing inference, or deploying computer vision systems.
How to use it
Give it an image dataset and a detection task; it prepares training configurations and guides model training and validation.
What you provide
- Your files
What you need · 7
The bundled automation scripts require Python 3.
Saving the default Ultralytics training configuration requires the yaml package.
The object detection workflow calls the yolo command to train and validate the model.
The dataset verification step imports pycocotools to inspect the generated COCO annotations.
Access · 0
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