Water Meter Segmentation Unet Efficientnet B0 ReduceLROnPlateau 021224

🚀 Unet Model Card

This is a model card for the Unet model, providing information on loading the trained model, initialization parameters, metrics, and the dataset used.

🚀 Quick Start

Load trained model

import segmentation_models_pytorch as smp

model = smp.from_pretrained("<save-directory-or-this-repo>")

✨ Features

Model init parameters

model_init_params = {
    "encoder_name": "efficientnet-b0",
    "encoder_depth": 5,
    "encoder_weights": "imagenet",
    "decoder_use_batchnorm": True,
    "decoder_channels": (256, 128, 64, 32, 16),
    "decoder_attention_type": None,
    "in_channels": 3,
    "classes": 1,
    "activation": None,
    "aux_params": None
}

Model metrics

[
    {
        "test_per_image_iou": 0.7884901762008667,
        "test_dataset_iou": 0.8238118886947632
    }
]

Dataset

Dataset name: water-meter

📚 Documentation

More Information

• Library: https://github.com/qubvel/segmentation_models.pytorch
• Docs: https://smp.readthedocs.io/en/latest/

This model has been pushed to the Hub using the PytorchModelHubMixin

📄 License

This project is licensed under the MIT license.