FlowerAI

About Our Technology

This flower recognition system leverages the power of state-of-the-art deep learning models. We utilize a technique called Transfer Learning, where we take powerful, pre-trained neural networks and fine-tune them specifically for the task of flower identification.

Our system is built upon a foundation of renowned models, including Xception, Inception-v3, ResNet50, VGG, InceptionResNetv2, and MobileNet. These models were originally trained on the vast ImageNet dataset, and we have adapted them to recognize a wide variety of flower species with high accuracy. The final classification is performed using a robust Logistic Regression classifier, ensuring reliable and fast predictions.