What algorithms are best used for recognizing objects in the street from a video stream

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Well it kind of depends, but my best guess would be to go for a standard object detection model trained on a dataset that already contains many of the general classes on the street, like cars, trucks, pedestrians, ... have a look at

• The model zoo supplied by Intel https://github.com/opencv/open_model_...
• These models can be read in by the DL backend: https://github.com/opencv/opencv/tree...
• There are a bunch of usefull tutorials: https://docs.opencv.org/master/d2/d58...