Object detection is a machine learning technique used in applications like self-driving cars and smart fridges. The document discusses several approaches to object detection including R-CNN, Fast R-CNN, and Faster R-CNN which use regional proposals and convolutional neural networks. It notes that while Faster R-CNN is fast, it does not work as well for detecting small objects. In the end, the document thanks the reader.

1. Object detection
Codette 4 Cloud
Tudor Virgil
Machine learning developer @

2. Self driving cars
Smart fridge
Why object detection?

4. Blur Edges
Horizontal edges
Convolutions

5. Convolutions
Convolution gif animation from: https://github.com/vdumoulin/conv_arithmetic
* =
3*0 + 3*1 + 2*2 + 0*2 + 0*2 + 1*0 + 3*0 + 1*1 + 2*2 = 12

6. Image classification

7. R-CNN: Regional CNN

9. Fast R-CNN

11. Faster R-CNN

12. RPN: Region Proposal Network

13. RPN: Anchors

15. Faster than light networks

16. Doesn’t work well for small objects

19. Thank you!