Use for computer-vision tasks on natural/general images: image classification, object detection (vehicles, faces, people, products), face recognition/verification, semantic/instance segmentation, keypoints/pose, OCR. Picks the best architecture per sub-task and the right transfer-learning + augmentation recipe. Triggers on 'detect objects/faces/vehicles', 'classify images', 'segment', 'bounding boxes', 'recognize faces', 'image dataset'.
How to install domain-computer-vision?
mxslr/mlcraft/domain-computer-vision
$npx -y skills add mxslr/mlcraft --skill domain-computer-visionInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mxslr/mlcraft" --skill "mxslr/mlcraft/domain-computer-vision"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mxslr/mlcraft" that are relevant to the current task. Run `npx skills add "https://github.com/mxslr/mlcraft"` and select the relevant skills, then follow their instructions.
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