classiloom

Name	classiloom JSON
Version	1.0.0 JSON
	download
home_page	None
Summary	CLI image classification trainer with Gemini-driven hyperparameters and modern Keras backbones
upload_time	2025-08-23 15:45:37
maintainer	None
docs_url	None
author	You
requires_python	>=3.9
license	MIT
keywords	machine-learning deep-learning image-classification tensorflow cli gemini
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # classiloom

CLI trainer for image classification. Gemini proposes hyperparameters. Keras backbones (MobileNetV2, EfficientNetB0, ResNet50) or a compact CNN. No database. Artifacts and metrics saved under `runs/`.

## Commands

- `classiloom set gemini_api <token>`
- `classiloom set gemini_model <name>`
- `classiloom scan <dataset_dir> --out runs`
- `classiloom suggest <scan_json> --trials 8 --out runs`
- `classiloom train <dataset_dir> <configs_json> --idx 0 --out runs [--mixed-precision] [--fine-tune]`
- `classiloom predict <image_path> <model_dir>`

            

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