The goal of the project is to classify the vehicles, count their frequency, track them using unique ID and provide safety measures to the users by flagging the suspicious ones.
data-science deep-neural-networks computer-vision deep-learning image-processing object-detection vgg16 object-tracking vehicle-tracking vehicle-detection vehicle-counting cnn-architecture object-detection-pipelines mobilenetv2 automatic-pipeline vehicle-classification tensorflow2 licence-plates-recognition licence-plate-detection
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Updated
Nov 21, 2021 - Python