CLI image classification trainer with Gemini-driven hyperparameters and modern Keras backbones
Project description
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 runsclassiloom suggest <scan_json> --trials 8 --out runsclassiloom train <dataset_dir> <configs_json> --idx 0 --out runs [--mixed-precision] [--fine-tune]classiloom predict <image_path> <model_dir>
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