Topic: leaf-clasification Goto Github
Some thing interesting about leaf-clasification
Some thing interesting about leaf-clasification
leaf-clasification,Leaf Classification with Learning Vector Quantization
User: abuwildanm
leaf-clasification,Leaf classifier - Convolutional neural network + Transfer learning
User: aguadagno
leaf-clasification,
User: bhagya-gundal
leaf-clasification,YOLOv7-based leaf object detection for agriculture. Accurate crop management and weed control.
User: doguilmak
leaf-clasification,leaf-classification
User: gokultcr
leaf-clasification,Repository for diffrent solutions of Kaggle classification competitions
User: grigorevmp
leaf-clasification,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.
User: imanrnj
leaf-clasification,Year-4 Module taken in NTU that discusses about various machine learning algorithms and their strengths and weaknesses
User: javelin1991
leaf-clasification,A basic leaf-classifiaction for our Machine Learning Course at Uni.
User: lhkode
leaf-clasification,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.
User: mahaning
leaf-clasification,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.
Organization: msc-ai
Home Page: https://www.kaggle.com/competitions/leaf-classification
leaf-clasification,Leaf Classification - android application for the classification of plants by leaves.
User: proteus1121
leaf-clasification,A Mobile app that detects any leaf and describes its details. Backend: FastApi, Postgresql. Frontend: Andriod Java
User: yash-koshti
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