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Full-Text Articles in Physical Sciences and Mathematics
Learning For Free – Object Detectors Trained On Synthetic Data, Charles Thane Mackay
Learning For Free – Object Detectors Trained On Synthetic Data, Charles Thane Mackay
Master's Projects
A picture is worth a thousand words, or if you want it labeled, it’s worth about four cents per bounding box. Data is the fuel that powers modern technologies run by artificial intelligence engines which is increasingly valuable in today’s industry. High quality labeled data is the most important factor in producing accurate machine learning models which can be used to make powerful predictions and identify patterns humans may not see. Acquiring high quality labeled data however, can be expensive and time consuming. For small companies, academic researchers, or machine learning hobbyists, gathering large datasets for a specific task that …
Over Speed Detection Using Artificial Intelligence, Samkit Patira
Over Speed Detection Using Artificial Intelligence, Samkit Patira
Master's Projects
Over speeding is one of the most common traffic violations. Around 41 million people are issued speeding tickets each year in USA i.e one every second. Existing approaches to detect over- speeding are not scalable and require manual efforts. In this project, by the use of computer vision and artificial intelligence, I have tried to detect over speeding and report the violation to the law enforcement officer. It was observed that when predictions are done using YoloV3, we get the best results.
Robust Lightweight Object Detection, Siddharth Kumar
Robust Lightweight Object Detection, Siddharth Kumar
Master's Projects
Object detection is a very challenging problem in computer vision and has been a prominent subject of research for nearly three decades. There has been a promising in- crease in the accuracy and performance of object detectors ever since deep convolutional networks (CNN) were introduced. CNNs can be trained on large datasets made of high resolution images without flattening them, thereby using the spatial information. Their superior learning ability also makes them ideal for image classification and object de- tection tasks. Unfortunately, this power comes at the big cost of compute and memory. For instance, the Faster R-CNN detector required …