Week 2— Object Detection for Blind People
This week we introduce you to an algorithm and related works about our project. For our project, we are going to use the YOLO algorithm. (You Only Look Once). For training, we are going to use the datasets which are mentioned before.
YOLO Algorithm (You Look Only Once)
YOLO is an extremely fast real-time multi-object detection algorithm. YOLO stands for “You Only Look Once”.The YOLO (You Only Look Once), deals with object detection in a different way. It takes the entire image in a single instance and predicts the bounding box coordinates and class probabilities for these boxes.
The algorithm applies a neural network to an entire image. The network divides the image into an S x S grid and comes up with bounding boxes, which are boxes drawn around images and predicted probabilities for each of these regions.
The method used to come up with these probabilities is logistic regression. The bounding boxes are weighted by the associated probabilities. For class prediction, independent logistic classifiers are used.
Links About YOLO
Related Works
Some of the related researches are:
https://pdfs.semanticscholar.org/903c/799bf1e472704b9e6023b8cab9c286dbb4d2.pdf
http://cs231n.stanford.edu/reports/2016/pdfs/218_Report.pdf,
Thank you for reading.
