There are 0 repository under leaf-clasification topic.
Leaf Classification with Learning Vector Quantization
YOLOv7-based leaf object detection for agriculture. Accurate crop management and weed control.
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 species of plants. Leaves, due to their volume, prevalence, and unique characteristics, are an effective means of differentiating plant species. They also provide a fun introduction to applying techniques that involve image-based features. As a first step, try building a classifier that uses the provided pre-extracted features. Next, try creating a set of your own features. Finally, examine the errors you're making and see what you can do to improve.
Leaf classifier - Convolutional neural network + Transfer learning
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.
Year-4 Module taken in NTU that discusses about various machine learning algorithms and their strengths and weaknesses
leaf-classification
Repository for diffrent solutions of Kaggle classification competitions
A basic leaf-classifiaction for our Machine Learning Course at Uni.
Leaf Classification - android application for the classification of plants by leaves.