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dataset-handling

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twishapatel12 / TrafficSignRecognition

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A deep learning model that classifies traffic signs using the German Traffic Sign dataset to assist autonomous vehicles in recognizing road signs.

python machine-learning deep-neural-networks deep-learning numpy sklearn pandas image-classification matplotlib convolutional-neural-networks data-preprocessing opencv-python cnn-model keras-tensorflow kaggle-dataset traffic-sign-recognition tkinter-gui model-training-and-evaluation dataset-handling
  • Updated May 8, 2025
  • Python

sarojinisharon / Object-Detection-with-Faster-R-CNN

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This project focuses on real-time object detection and tracking using the Faster R-CNN model, emphasizing accuracy over speed. It utilizes the COCO 2017 dataset for training, which contains diverse and complex images. The Faster R-CNN model is integrated with FiftyOne for visualizing predictions and ground truth annotations. A custom CentroidTracke

python machine-learning object-detection object-tracking r-cnn data-science-projects pytorch-implementation model-optimization coco-2017-dataset dataset-handling
  • Updated Nov 27, 2024
  • Python

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