MegaDetector

Deep learning tools that accelerate the review of motion-triggered wildlife camera images.
https://github.com/microsoft/CameraTraps

Category: Biosphere
Sub Category: Terrestrial Wildlife

Keywords

camera-traps computer-vision conservation machine-learning megadetector pytorch pytorch-wildlife wildlife

Keywords from Contributors

ecology cameratraps aiforearth transforms measur observation distributed web-mapping convolutional-neural-networks deep-neural-networks

Last synced: about 20 hours ago
JSON representation

Repository metadata

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

• Host: GitHub
• URL: https://github.com/microsoft/CameraTraps
• Owner: microsoft
• License: mit
• Created: 2018-10-11T18:02:42.000Z (about 7 years ago)
• Default Branch: main
• Last Pushed: 2025-10-15T22:05:50.000Z (19 days ago)
• Last Synced: 2025-10-23T09:39:59.678Z (11 days ago)
• Topics: camera-traps, computer-vision, conservation, machine-learning, megadetector, pytorch, pytorch-wildlife, wildlife
• Language: Python
• Homepage: https://microsoft.github.io/CameraTraps/
• Size: 486 MB
• Stars: 940
• Watchers: 52
• Forks: 281
• Open Issues: 24
• Releases: 9
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md
  • Security: SECURITY.md

README.md

from pw_detection import MegaDetectorV6MIT, MegaDetectorV6Apache

# MIT YOLO
detector = MegaDetectorV6MIT(
    device=DEVICE,
    pretrained=True,
    version="MDV6-mit-yolov9-e"
)

# Apache RT‑DETR
detector = MegaDetectorV6Apache(
    device=DEVICE,
    pretrained=True,
    version="MDV6-apa-rtdetr-e"
)

import numpy as np
from PytorchWildlife.models import detection as pw_detection
from PytorchWildlife.models import classification as pw_classification

img = np.random.randn(3, 1280, 1280)

# Detection
detection_model = pw_detection.MegaDetectorV6() # Model weights are automatically downloaded.
detection_result = detection_model.single_image_detection(img)

#Classification
classification_model = pw_classification.AI4GAmazonRainforest() # Model weights are automatically downloaded.
classification_results = classification_model.single_image_classification(img)

pip install PytorchWildlife

@misc{hernandez2024pytorchwildlife,
      title={Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation}, 
      author={Andres Hernandez and Zhongqi Miao and Luisa Vargas and Sara Beery and Rahul Dodhia and Juan Lavista},
      year={2024},
      eprint={2405.12930},
      archivePrefix={arXiv},
}

@misc{beery2019efficient,
      title={Efficient Pipeline for Camera Trap Image Review},
      author={Sara Beery and Dan Morris and Siyu Yang},
      year={2019}
      eprint={1907.06772},
      archivePrefix={arXiv},
}

Citation (https://github.com/microsoft/CameraTraps/blob/main/)

cff-version: 1.2.0
title: Efficient Pipeline for Camera Trap Image Review
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Sara
    family-names: Beery
  - given-names: Dan
    family-names: Morris
    email: cameratraps@lila.science
  - given-names: Siyu
    family-names: Yang
identifiers:
  - type: url
    value: 'https://arxiv.org/abs/1907.06772'
    description: 'arXiv preprint, 1907.06772, 2019'
repository-code: 'http://github.com/ecologize/CameraTraps'
keywords:
  - Camera traps
  - Conservation
  - Computer vision
license: MIT

Owner metadata

• Name: Microsoft
• Login: microsoft
• Email: opensource@microsoft.com
• Kind: organization
• Description: Open source projects and samples from Microsoft
• Website: https://opensource.microsoft.com
• Location: Redmond, WA
• Twitter: OpenAtMicrosoft
• Company:
• Icon url: https://avatars.githubusercontent.com/u/6154722?v=4
• Repositories: 7465
• Last ynced at: 2025-10-27T00:51:58.461Z
• Profile URL: https://github.com/microsoft

GitHub Events

Total

• Create event: 16
• Release event: 3
• Issues event: 51
• Watch event: 147
• Delete event: 14
• Member event: 3
• Issue comment event: 60
• Push event: 145
• Pull request review comment event: 4
• Pull request review event: 16
• Pull request event: 64
• Fork event: 38

Last Year

• Create event: 16
• Issues event: 50
• Release event: 3
• Watch event: 142
• Delete event: 14
• Member event: 3
• Issue comment event: 60
• Push event: 135
• Pull request review comment event: 4
• Pull request review event: 16
• Pull request event: 64
• Fork event: 37

Committers metadata

Last synced: 6 days ago

Committer domains:

• microsoft.com: 9
• uniandes.edu.co: 2
• cs.stanford.edu: 1
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• megadetector-float.fywutlkdhe2etlddvntzl12x1a.ex.internal.cloudapp.net: 1
• dmultiplicitas.onmicrosoft.com: 1
• brunel.ac.uk: 1
• synthetaic.com: 1
• osu.edu: 1
• amnh.org: 1
• bhconsulting.ca: 1
• pa.h4nqyl4svykevn4x5gbo3tfbhh.cx.internal.cloudapp.net: 1
• megadetector-float2.fywutlkdhe2etlddvntzl12x1a.ex.internal.cloudapp.net: 1
• google.com: 1

Issue and Pull Request metadata

Last synced: 19 days ago

Package metadata

• Total packages: 1
• Total downloads:
  • pypi: 1,380 last-month
• Total dependent packages: 0
• Total dependent repositories: 0
• Total versions: 33
• Total maintainers: 2

Dependencies

Score: 18.307070918329128