Unified loading, preprocessing, and augmentation for agricultural computer vision datasets. Supports automatic download from Kaggle, HuggingFace Hub, and GitHub releases; deterministic train/val/test splitting; domain-specific augmentation presets; and cross-dataset label alignment for…
How to install agri-dataset-loader?
jeffisgod/agri-cv-research/agri-dataset-loader
$npx -y skills add jeffisgod/agri-cv-research --skill agri-dataset-loaderInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jeffisgod/agri-cv-research" --skill "jeffisgod/agri-cv-research/agri-dataset-loader"` 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/jeffisgod/agri-cv-research" that are relevant to the current task. Run `npx skills add "https://github.com/jeffisgod/agri-cv-research"` and select the relevant skills, then follow their instructions.
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