Model: hadrilec/satellite-pictures-classification-ign-france-model
Author: hadrilec
Pipeline: image-classification
Tags: Net, vision, image-classification, cnn, satellite-imagery, land-use-classification, france, remote-sensing, en, dataset:hadrilec/satellite-pictures-classification-ign-france, license:cc-by-4.0, model-index, region:us
Card metadata: language: en
license: cc-by-4.0
tags: vision, image-classification, cnn, satellite-imagery, land-use-classification, france, remote-sensing
model-index: name: satellite-land-use-classifier-france
results: task: type: image-classification
dataset: name: hadrilec/satellite-pictures-classification-ign-france
type: image-dataset
metrics: name: accuracy
type: classification
value: 0.9728
verified: no
split: validation
widget: task: image-classification
inputs: name: example_input
type: image
url: https://huggingface.co/datasets/hadrilec/satellite-pictures-classification-ign-france/viewer/default/train?views%5B%5D=train&image-viewer=9473D066F7CE8EC28648894FD2FDAAF273ED2520
model: architecture: Custom CNN (2-layer Conv + 2-FC)
framework: PyTorch
input_shape: 3, 256, 256
output_labels: forest, sea, urban, field
model_description: This model uses a custom convolutional neural network, trained on satellite images provided by IGN, to classify areas in France into four categories: forest, sea, urban, and field

citation: authors: Hadrien Leclerc
title: Satellite Image Classifier for Land-Use in France
year: 2025
datasets: hadrilec/satellite-pictures-classification-ign-france
metrics: accuracy
Likes: 0 | All-time downloads: 63
Created: 2025-08-23 13:30:51