WILDLIFE IMAGE CLASSIFIER
Develop a machine learning model to accurately identify and classify various species of wildlife based on images.
Created on 26th May 2024
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WILDLIFE IMAGE CLASSIFIER
Develop a machine learning model to accurately identify and classify various species of wildlife based on images.
The problem WILDLIFE IMAGE CLASSIFIER solves
This project harnesses the power of FAST.AI DEEP LEARNING Model which is build over the PyTorch Library to accurately identify and classify various wildlife species. With the ability to perform these tasks in a matter of seconds, this project aims to revolutionize wildlife monitoring and research. Whether you are a computer vision enthusiast, a student, a biology researcher, or simply interested in wildlife species, this project offers a valuable tool for all as an individual simpily needs to upload the and model automatically provides with the animal type. Also, the concerned model can be trained or updated on any localised data in no time.
Challenges I ran into
dataset consists of multiple folders of same labelled data. also many images were of incorrect format and data type. more over same images were of different category for spiders images were present in wolf folder.
Tracks Applied (1)
AI/ML
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