Using Machine Learning to recognize flowers. The dataset contains 4242 flower images. The images are divided into five classes: chamomile, tulip, rose, sunflower, dandelion.
For each class, there are approximately 800 photos. The photos are not in high resolution, approximately 320×240 pixels.