Deploy optimized lightweight oil spill detection API - Runtime model download, memory efficient
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metadata
title: Oil Spill Detection API
emoji: 🛢️
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
license: mit
app_port: 7860
Oil Spill Detection API
A lightweight FastAPI application for detecting oil spills in satellite imagery using deep learning models.
Features
- U-Net Model: Semantic segmentation for oil spill detection
- DeepLab V3+ Model: Advanced semantic segmentation
- Lazy Loading: Models load on-demand to save memory
- RESTful API: Easy integration with frontend applications
Usage
Health Check
GET /health
Predict Oil Spill
POST /predict
Content-Type: multipart/form-data
Parameters:
- file: Image file (JPG, PNG)
- model_choice: "model1" (U-Net) or "model2" (DeepLab)
API Documentation
Visit /docs for interactive API documentation.
Model Information
- Model 1: U-Net architecture for semantic segmentation
- Model 2: DeepLab V3+ for enhanced accuracy
- Input Size: 256x256 pixels
- Output: Binary classification (Oil Spill / No Oil Spill)
This API is optimized for HuggingFace Spaces with memory-efficient model loading.