Mbaza Shiny App Case Study
Mbaza Shiny App, the interactive data explorer interface for visualizing biodiversity datasets from camera trap footage analyses. Developed with 💙 by Appsilon
21 July 2022
Our Blog
Tag: mbaza ai
ML Data Labeling: Cleaning ML Labels for Biodiversity Projects
Automatic image capturing of animals is becoming the gold standard in biodiversity conservation. Learn how our ML models speed up the process.
30 June 2022
Protecting Gabon Wildlife – Using AI for Biodiversity Conservation
Appsilon's ML Team leverages its skillset by using AI to assist wildlife conservation efforts in Gabon.
21 November 2021
Data for Good: AI for Wildlife Image Classification to Analyze Camera Trap Datasets
As part of our D4G Initiative and with the support of a Google grant, Appsilon Data Science will be contributing to to the work of biodiversity conservationists at the National Parks Agency in Gabon in collaboration with the University of Stirling.
04 March 2020
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Using AI to Identify Wildlife in Camera Trap Images from the Serengeti
We recently took part in Hakuna-ma Data, a competition organised by DrivenData in partnership with Microsoft’s AI for Earth, which asked participants to build an algorithm for wildlife detection that would generalise well across time and locations...
30 January 2020