/Flowers-Recognition

Flower Recognition CNN model which predicts from daisy, dandelion, rose, sunflower, tulip using EfficientNetB0. The test accuracy on random set received was 90%.

Primary LanguageJupyter Notebook

Flowers-Recognition

Live link for the Web - Flower Recognition

Context : This dataset contains 4242 images of flowers. The data collection is based on the data flicr, google images, yandex images. You can use this datastet to recognize plants from the photo.

Visit the blog here - Flowers Recognition

Content : The pictures are divided into five classes: chamomile, tulip, rose, sunflower, dandelion. For each class there are about 800 photos. Photos are not high resolution, about 320x240 pixels. Photos are not reduced to a single size, they have different proportions!

Predicting the flower from given classes : 'daisy', 'dandelion', 'rose', 'sunflower', 'tulip'

Data : Flowers Recognition Dataset

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Predictions from the model :

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Confusion matrix :

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Wrongly Predicted Images :

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