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