Recently drones have emerged as a great new tool that many companies and even personal entities have decided to exploit. Looking at the potential these new drones have it would be in everyone’s best interest to use these drones or Unmanned Air Vehicles to their fullest potential. One way to help achieve that is by mounting cameras onto these drones and using the data captured by the video feed received from these cameras. This project is using machine learning and computer vision to help make use of the data captured by these drones. A RetinaNet model is used to train various models on images captured from the Stanford campus. The model is detecting various classes of urban artifacts such as pedestrians and cyclists.
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