Generating Synthetic Wildlife Health Data from Camera Trap Imagery: A Pipeline for Alopecia and Body Condition Training Data

1. 1Collect and curate a base image set from camera trap photographs
2. 2Apply MegaDetector to derive bounding boxes and center frames
3. 3Generate synthetic images depicting alopecia and body condition deterioration
4. 4Use the synthetic images to train machine learning models for automated health screening

Data scientists and AI engineers on a wildlife conservation team can benefit from this pipeline to automate health screening of wildlife

💡 Generating synthetic training data can overcome the lack of publicly available datasets for wildlife health conditions

🦊📸 Synthetic wildlife health data from camera trap imagery!