Author: rsanthos

This week, I finished the design presentation and most of the code for the Yolo v4 network. I am still waiting for access to the Imagenet database, but I plan to use Microsoft’s Common Objects in Context Dataset. I have also started compiling a small dataset from Microsoft’s Common Objects in Context Dataset to test the network and fine-tune parameters for training. I have also started researching different camera modules and hope to finalize on one soon.

My progress is on schedule as of this week.

Next week, I hope to finish coding up the neural network and also have access to the Imagenet dataset. I also plan to train a model using the mini dataset to test the network, Finally, I will work on the Design Paper as well.

This week, I finalized the YOLO v4 architecture for the neural network to train our object detection model. I also requested access to the Imagnet Dataset, and have decided to have Microsoft’s Common Objects in Context Dataset as a backup. I have also started coding some of the YOLO v4 architecture, and the design presentation.

My progress is on schedule as of this week.

Next week, I hope to finish coding up the neural network and also have access to the Imagenet dataset. I also plan to start working on the design paper due before spring break.

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.