Model: MeghanaK25/sar-oil-slick-detection
Author: MeghanaK25
Tags: resnet_oil_slick_detection, pytorch, sar, oil-slick-detection, maritime-monitoring, environmental-monitoring, satellite-imagery, resnet, computer-vision, en, dataset:sentinel-1-sar, license:apache-2.0, model-index, region:us
Card metadata: license: apache-2.0
tags: pytorch, sar, oil-slick-detection, maritime-monitoring, environmental-monitoring, satellite-imagery, resnet, computer-vision
language: en
metrics: accuracy, precision, recall
datasets: sentinel-1-sar
task_categories: image-classification, object-detection
widget: example_title: SAR Image Analysis
text: Upload a Sentinel-1 SAR image to detect oil slicks
model-index: name: SAR Oil Slick Detection
results: task: type: image-classification
name: Oil Slick Detection
dataset: type: sentinel-1-sar
name: Sentinel-1 SAR Images
metrics: type: accuracy
value: 0.948
name: Validation Accuracy
verified: no, type: accuracy
value: 0.851
name: Training Accuracy
verified: no
Likes: 0 | All-time downloads: 33
Created: 2025-09-12 15:45:53