MegaDetector and AddaxAI

MegaDetector is the foundational object detection model that AddaxAI builds upon to provide species-level classification, making them complements that work together in a processing pipeline rather than competitors.

MegaDetector
65
Established
AddaxAI
55
Established
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 20/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 19/25
Stars: 254
Forks: 45
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 165
Forks: 31
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About MegaDetector

agentmorris/MegaDetector

MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.

This tool helps conservation biologists analyze vast numbers of camera trap images more efficiently. You provide a collection of camera trap photos, and it automatically identifies if animals, people, or vehicles are present, or if the image is empty. This allows wildlife researchers and ecologists to quickly filter out irrelevant images and focus on those containing wildlife activity.

wildlife-conservation ecological-monitoring camera-trapping biodiversity-research environmental-science

About AddaxAI

PetervanLunteren/AddaxAI

Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model

This tool helps ecologists analyze thousands of camera trap images by automatically detecting animals. You input raw camera trap photos, and it outputs analyzed images with identified species, helping you efficiently track wildlife populations and behavior. It's designed for wildlife researchers and conservationists who manage large datasets from field cameras.

wildlife-monitoring ecology conservation field-research camera-trapping

Scores updated daily from GitHub, PyPI, and npm data. How scores work