VIAME VS SpeciesClassification

Compare VIAME vs SpeciesClassification and see what are their differences.

SpeciesClassification

To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301 (by microsoft)
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VIAME SpeciesClassification
1 1
264 97
1.1% -
9.4 2.0
20 days ago about 1 year ago
Python Jupyter Notebook
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

VIAME

Posts with mentions or reviews of VIAME. We have used some of these posts to build our list of alternatives and similar projects.
  • Data science for social good?
    1 project | /r/datascience | 26 Nov 2021
    The company I currently work for - Kitware - works on various open source projects. I'm involved in several ecological projects under the VIAME umbrella.

SpeciesClassification

Posts with mentions or reviews of SpeciesClassification. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing VIAME and SpeciesClassification you can also consider the following projects:

OpenCV - Open Source Computer Vision Library

megadetector-gui - A desktop application that makes using MegaDetector's model easier

DarkMark - Marking up images for use with Darknet.

zamba - A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

bearid - Hypraptive BearID project. FaceNet for bears.

jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

PlanetaryComputerExamples - Examples of using the Planetary Computer

Kornia - Geometric Computer Vision Library for Spatial AI

CameraTraps - PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

caer - High-performance Vision library in Python. Scale your research, not boilerplate.