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Recognising the Traffic Signs in ImagesImport 29/09/2010Hofrík, Pavel
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Train YOLO object detection model to find traffic signs in the images. Use OCR pipeline to extract the information from the signs with text. opencv ocr traffic-sign-detection yolov3 Updated Dec 26, 2020 Jupyter Notebook AbhayVAshokan / Traffic-Sign-Detection-Dataset Star 10 Code Issues...
Sign Recognition Module 🔍: The core functionality responsible for recognizing road signs and updating the database with the results. Database Module 💾: Consists of two sub-modules - basic database operations and data analysis. Image Processing Module 🖼️: Handles the processing of individua...
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The model performs very well on the images that are similar to signs in the German data set. For example, stop sign and do not enter are classified correctly, with high certainty. saver = tf.train.Saver() saver.restore(sess=session, save_path='model_best_test') print_accuracy() Accuracy...
The result is the creation of a new dataset with a wider variety of traffic signs and an object detection-based system using Faster R-CNN to enable the detection and geo-location of traffic signs from drone-captured images. Despite some significant challenges, such as the lack of drone-...