Can I read Deep Object Detection For Waterbird Monitoring Using Aerial Imagery on EtoBox?
Deep Object Detection For Waterbird Monitoring Using Aerial Imagery by Radhey Ruparel is a document available to read on EtoBox.
What is Deep Object Detection For Waterbird Monitoring Using Aerial Imagery about?
The document presents a deep learning pipeline for monitoring colonial waterbird populations using aerial imagery from drones. It details the development and application of object detection models, specifically Faster R-CNN and RetinaNet, to identify 16 species of waterbirds, achieving average precision scores of 67.9% and 63.1% respectively. The study emphasizes the advantages of UAV technology in wildlife monitoring, particularly in improving accuracy and safety compared to traditional survey methods.
- Author
- Radhey Ruparel
- Language
- EN