RosePixels- The Dutch Rose Petals Classification Dataset
Description
The RosePixels dataset is a detailed collection of high-quality images featuring Dutch rose petals, gathered straight from the Talegaon-Maval region—a place famous for growing these beautiful flowers. Unlike other datasets that tend to focus on just a few aspects, this one offers a broader view, capturing a wide range of petal colors and their health conditions. The dataset comprises images of petals in shades like red, yellow, pink, purple, white, orange, plus stunning bi-color and multi-color varieties. On top of that, it sorts them by health—whether they’re fresh, dry, or diseased. In total, RosePixels includes 2,000 images. Breaking it down by color, there are 296 red, 210 yellow, 218 white, 166 pink, 220 purple, 166 orange, 185 bi-color, and 135 multi-color petals. As for health, 989 are fresh, 685 are dry, and 326 are diseased. All these images were captured in a controlled setting, and each one has been pre-processed with a unique ID—like "fresh_red_001," where "fresh" shows the petal’s condition, "red" is the color, and "001" is a three-digit code to keep everything organized. This dataset is perfect for training machine learning models, especially for quality checks or projects tied to agriculture, perfumes, edible products, flavors, or even cosmetics. It’s a treasure trove for anyone looking to explore the world of Dutch roses!
Files
Institutions
- Vishwakarma Institute of Information Technology