Developed a Plant Species Identification system using Flask and the ResNet9 model. This tool accurately identifies plant species from images, making it indispensable for botany enthusiasts. Key skills involved include Convolutional Neural Networks (CNN), HTML, CSS, and Python.

YOLOv7-based leaf object detection for agriculture. Accurate crop management and weed control.

Leaf Classification with Learning Vector Quantization

There are estimated to be nearly half a million species of plant in the world. Classification of species has been historically problematic and often results in duplicate identifications. The objective of this playground competition is to use binary leaf images and extracted features, including shape, margin & texture, to accurately identify 99 s…

Year-4 Module taken in NTU that discusses about various machine learning algorithms and their strengths and weaknesses

leaf-classification

A basic leaf-classifiaction for our Machine Learning Course at Uni.

Leaf classifier - Convolutional neural network + Transfer learning

Repository for diffrent solutions of Kaggle classification competitions

Leaf Classification - android application for the classification of plants by leaves.

A Mobile app that detects any leaf and describes its details. Backend: FastApi, Postgresql. Frontend: Andriod Java

The objective of this playground competition is to use binary leaf images to accurately identify 99 species of plants. I use InceptionV3 model for classify kaggle binary leaf images.