Aerial Car Classification 01

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This is the results of training a Convolutional Neural Network to detect and classify cars from the air. This was done with the help of the RIT Computer Engineering Department. Further work will be done to improve accuracy.

Major resources used:
- DJI Phantom 3 Standard
- Nvidia Titan X's for training

Software:
  1. Jake A
  2. Deep Learning
  3. Neural Network
  4. Classification