Ze-robot V0.2 May 2026

In an era of increasingly complex MLOps platforms, there is profound value in a tool that does . Ze-robot v0.2 converts chaos into structure. It doesn’t pretend to be intelligent—it just renames, pairs, and splits. Sometimes, that’s exactly what you need.

Specifically, version 0.2 is tailored for that require the following standard layout: ze-robot v0.2

ze-robot --source ./my_photos --dest ./ready_data \ --caption-source filename --train-ratio 0.85 \ --remove-duplicates --seed 42 After execution, the destination folder contains: In an era of increasingly complex MLOps platforms,

ze-robot --source /path/to/raw_images --dest /path/to/processed_dataset | Flag | Description | |------|-------------| | --source | Input directory (recursively scanned) | | --dest | Output directory (created if nonexistent) | | --caption-source | adjacent , metadata , or filename | | --train-ratio | Float between 0 and 1 (default 0.9) | | --remove-duplicates | Flag to enable hash-based dedup | | --image-ext | Comma-separated list (default: jpg,jpeg,png,webp,bmp) | | --recursive | On by default in v0.2; can be disabled | | --seed | Integer for reproducible random splitting | Sometimes, that’s exactly what you need

pip install ze-robot Basic usage:

: github.com/ze-robot/ze-robot (example; actual URL may differ) License : MIT Python version requirement : 3.8+ Have you used ze-robot v0.2 in a project? The maintainers welcome pull requests addressing the limitations mentioned above, especially UTF-8 robustness and large-dataset memory usage.