Traffic Sign Detection using Yolo-V3 Two Step Working : Detect Traffic signs into 4 broad categories using Yolo-V3. Classify the Traffic sign into 43 Different Categories. Python Dependencies and Packages : opencv-python tensorflow keras numpy pandas matplotlib sklearn Usage : Supports three different kinds of operation : Classify the traffic signs found in an image: Add all the images you want to classify into /test_data/images/ Run the script /scripts/main_image.py Find the output images with classified traffic signs in the folder /result_data/images/ Classify the traffic signs found in an video: Add all the images you want to classify into /test_data/videos/ Run the script /scripts/main_videos.py Find the output images with classified traffic signs in the folder /result_data/videos/ Classify the traffic signs live using a camera: Run the script /scripts/main_camera.py