Automated species identification has become a potential method for advancing taxonomy, biology, and ecology research. This project intends to design a Convolutional Neural Network (CNN) from scratch using Keras with a TensorFlow backend to provide an automated plant identification solution.
Here's a summary of the dataset:
Flower Categories: 'tulip', 'dandelion', 'daisy', 'sunflower', 'rose'
Total Number of Images: 4328
Image Resolution: 150 x 150 pixels
Image Format: Color (RGB)