You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Segformer Model Card

Table of Contents:

Load trained model
Model init parameters
Model metrics
Dataset

Load trained model

import segmentation_models_pytorch as smp

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

Model init parameters

model_init_params = {
    "encoder_name": "mit_b3",
    "encoder_depth": 5,
    "encoder_weights": "imagenet",
    "decoder_segmentation_channels": 256,
    "in_channels": 3,
    "classes": 1,
    "activation": None,
    "upsampling": 4,
    "aux_params": None
}

Model metrics

[
    {
        "test_per_image_iou": 0.7424741387367249,
        "test_dataset_iou": 0.804797887802124
    }
]

Dataset

Dataset name: Oxford Pet

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

Downloads last month: -