Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
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Mar 22, 2020 - Python
Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
Official Repository for CWD30 Dataset
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.
🌿 Flower Classifier implementation and Django Web App with integrated ML model.
Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations
The Big Mayevsky - оцифрованная версия известного определителя растений европейской части России. Отличие от книги заключается в том, что переход от одного пункта к другому происходит автоматически и вам не надо перелистывать книгу.
Plant classification (angiosperms, gymnosperms, bryophytes and pteridophytes), using machine learning with Python
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