A Kaggle Playground Competition Project
This project is inspired by a Kaggle playground competition. The objective is to use binary leaf images to identify 99 species of plants via Machine Learning (ML) methods. Three sets of pre-extracted features are provided, including shape, margin and texture.
Training dataset: train.csv .zip (371.03 kb)
Test dataset: test.csv .zip (215.26 kb)
Binary images: .zip (33.81 mb)