glamacles

katenkoy/glamacles

glamacles is a image segmentation model from katenkoy. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for segmentation-models-pytorch. The card lists the license as mit.

Table of Contents: - Load trained model - Model init parameters - Model metrics - Dataset

Downloads · 30 days

2% of all-time downloads

All-time downloads

318

Public

Parameters

23.2M

92.7 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors92.7 MB · 100%

At a glance

Task: Image Segmentation
Library: segmentation-models-pytorch
License: mit
Access: Public
Created: Jun 23, 2024
Updated: Jun 23, 2024
SHA: b866a69b

Model card

From the Hugging Face model README

FPN 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.FPN.from_pretrained("glamacles")

Model init parameters

model_init_params = {
    "encoder_name": "resnet34",
    "encoder_depth": 5,
    "encoder_weights": "imagenet",
    "decoder_pyramid_channels": 256,
    "decoder_segmentation_channels": 128,
    "decoder_merge_policy": "add",
    "decoder_dropout": 0.2,
    "in_channels": 3,
    "classes": 1,
    "activation": None,
    "upsampling": 4,
    "aux_params": None
}

Model metrics

[
    {
        "test_per_image_iou": 0.7923152446746826,
        "test_dataset_iou": 0.7875896692276001
    }
]

Dataset

Dataset name: CALFIN

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

Task: Image Segmentation
Library: segmentation-models-pytorch
License: mit
Created: Jun 23, 2024
Updated: Jun 23, 2024