Hi, In today's brand-new tutorial, you will learn how to build an R-CNN object detector using Keras and TensorFlow: Today's tutorial is the final part in our 4-part series on deep learning and object detection:
Last week, you learned how to use region proposals and Selective Search to replace the traditional computer vision object detection pipeline of image pyramids and sliding windows:
Our method worked well enough — but it raised some questions: "What if we wanted to train an object detection network on our own custom datasets? In fact, these are the same questions that Girshick et al. had to consider in their seminal deep learning object detection paper Rich feature hierarchies for accurate object detection and semantic segmentation. Each of these questions will be answered in today's tutorial — and by the time you're done reading it, you'll have a fully functioning R-CNN, similar (yet simplified) to the one Girshick et al. implemented! Click here to see the full tutorial — you won't want to miss it! Adrian Rosebrock Chief PyImageSearcher P.S. Interested in my books or courses but not sure which one to go with? Simply reply to this email and let me know — I'll put you in touch with my Enrollment Advisor who will personally guide you to which book/course is best for you and your project. |