Automatic color detection using Computer Vision powered by a YOLOv8 model trained on a Roboflow dataset. This project allows users to upload images and instantly detect colors such as red, yellow, green, blue, etc., through a simple web interface built with Flask.

Color detection is one of the fundamental techniques in digital image processing, widely used in the field of Computer Vision. Color can serve as a visual cue to recognize and distinguish objects in an image. This technique has various applications, such as object tracking, product classification, and surveillance systems. By utilizing color representations like RGB or HSV, computers can automatically detect and process objects based on color.

🔍 Object color detection using YOLOv8

🌐 Web interface built with Flask for image upload and result visualization

🧠 Model trained using a color-annotated dataset from Roboflow

💾 Prediction results displayed visually with bounding boxes and confidence scores