This week began with a focus on the Proposal Presentation. I worked with my team to refine the slides and rehearse the presentation. We met on Monday and Tuesday to rehearse as we presented on Wednesday.
In addition, I focused on researching different neural networks to train an object detection algorithm and searching for good data sets of commonly found objects outdoors to train our model. From my research, the YOLO network seems to be good for fast object detection, and there are a few annotated data sets from Google that seem promising. I also spoke with the principal of a School for the Visually Impaired to better understand the needs of the visually impaired.
My progress as of now is on schedule. I will be finalizing the dataset and network architecture in the next few days and start coding the network to test it using a smaller dataset.