Tools for detecting wildlife in aerial images using active learning
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Updated
Jul 25, 2024 - Python
Tools for detecting wildlife in aerial images using active learning
Outil d'import de données entre instances GeoNature (côté client)
A Raspberry Pi camera system with a live video feed, motion detection system, H.264 mp4 recording capabilities and a storage management system with support for remote storage. The recorder supports pre-motion frame recording and no internet environments (e.g. Wildlife cameras).
Code for paper "From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?"
Hypraptive BearID project. FaceNet for bears.
The Image Level Label to Bounding Box (IL2BB) pipeline automates the generation of labeled bounding boxes by leveraging an organization’s previous labeling efforts.
Filter cameras traps images with megadetector on a cluster
Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)
Simple Python program with a GUI built using tkinter that tests your knowledge of identifying species. Inspired by a course I took in university where I had to learn to identify species but forgot most of them. Currently, only bird species found in Ontario are available in the Images directory. You can contribute to this if you happen to stumble…
Distance Estimation for Estimating Animal Abundance
Reserve Design Optimizing Functional Connectivity and Animal Density
CycleGAN Model in PyTorch for translating animal image to other domain irrespective of the pairing between two images.
Code and supplementary material for "SOCRATES: Introducing Depth in Visual Wildlife Monitoring using Stereo Vision" (WIP)
Determine the 🐦 from its 🎵
Add a description, image, and links to the wildlife topic page so that developers can more easily learn about it.
To associate your repository with the wildlife topic, visit your repo's landing page and select "manage topics."