This repo is my attempt at the DrivenData Conser-vision Practice Area: Image Classification competition. I built a convolution neural net to identify wildlife from camera scan images.
TODO Setup / interacting with the code
TODO Performance
TODO brief summary of modelling and link to model itself
For a more detailed look at the project, please go to model.ipynb for my attempt, or benchmark.ipynb for the benchmark provided by DrivenData.
Data for this challenge was provided by:
The Pan African Programme: The Cultured Chimpanzee, Wild Chimpanzee Foundation, DrivenData. (2022). Conser-vision Practice Area: Image Classification. Retrieved [Month Day Year] from https://www.drivendata.org/competitions/87/competition-image-classification-wildlife-conservation/.