Automated Wildlife detection
Transforming Aerial Imagery into Actionable Conservation Intelligence
The Mission
WildDetect is more than just a detection tool; it's a comprehensive AI-driven ecosystem designed to solve one of the most critical challenges in modern conservation: scalable and accurate wildlife monitoring.
By automating the transition from raw aerial imagery to detailed census reports, WildDetect empowers researchers and conservationists to focus on protection and policy, rather than manual image scanning.
🏗️ An Integrated Ecosystem
WildDetect is built on a modular three-tier architecture that mirrors the natural workflow of a data-driven conservation project:
1. The Foundation: WilData
Ensure your data is high-quality, version-controlled, and ready for intelligence. WilData handles the complex "plumbing" of multi-format imports (COCO, YOLO, Label Studio), geospatial metadata extraction, and large-scale image tiling.
2. The Intelligence: WildTrain
Transform raw observations into specialized AI models. WildTrain provides a flexible framework for training state-of-the-art YOLO detectors and deep-learning classifiers, integrated with MLflow for complete experiment traceability.
3. The Impact: WildDetect
Deploy your models in the field. WildDetect orchestrates the final "census campaigns," processing thousands of images to generate statistically sound population counts, density maps, and professional PDF reports.
🗺️ How it Works: The End-to-End Workflow
WildDetect provides a seamless pipeline from raw data to field impact.
[!TIP] New to the project? Use the Interactive Script Navigator to visually explore which scripts and CLI commands correspond to each step in the workflow below.
🧭 Your Journey Starts Here
Choose the path that best fits your current goal:
🏁 Getting Started
- Installation Guide - Set up your environment (UV, CUDA, and Dependencies).
- Quick Start - Run your first detection in under 5 minutes.
- Interactive Script Navigator - A visual map of all available tools.
🧪 Training & Research
- Dataset Preparation - Master the WilData pipeline.
- Model Training Guide - Train custom YOLO and classification models.
- Configuration Reference - Deep dive into YAML configurations.
📡 Field Operations
- End-to-End Detection - Run a complete production detection job.
- Census Campaign Guide - Orchestrate large-scale aerial surveys.
- Geographic Analysis - Analyze population density and GPS coverage.
🤝 Community & Support
- Contribute: As an open-source project, we welcome contributions! From bug reports to code improvements, check out our GitHub Issues to see what we're working on.
- Feedback: Share your conservation use cases or model results on the GitHub Discussions.