encyclo-flower.com site
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Updated
Nov 11, 2023 - Python
encyclo-flower.com site
Automated flower species classification for generating honey-bee foraging maps from drone imagery
Flowers classification app using Deep Neural Networks
This project uses a deep CNN for classifying images from the Flowers-102 dataset. I employed cross-entropy loss for accurate classification and AdamW optimizer for stable training. Data augmentation techniques like random flips and rotations are used to enhance model generalization.
This project involves building a Convolutional Neural Network (CNN) from scratch to classify different flower species without using transfer learning. The dataset consists of flower images from various classes and is not directly sourced from the Flowers102 dataset.
Classifying Flowers on the basis of their images with the help of a simple CNN 🤖
An automated flower classification using machine learning and TDA (Still under development)
Flower Farm is an App for Flower Farmers & Flower Lovers
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