CINCINNATI – Christian Yelich, in a ripped blue cutoff, shorts and sandals, reached down to show off the bat that had given him and the Milwaukee Brewers a night they won't forget any time soon.

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

when i run the python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config..... (tf) D:\Anaconda\envs\tf ...

Abstract: This work focuses on the real-time detection of defective products on a production line of a Roti (Flatbread) maker machine. In this research work, an object detection model, ...

Forward-looking sonar object detection plays a vital role in marine applications such as underwater navigation, surveillance, and exploration, serving as an essential underwater acoustic detection ...

Food safety testing is essential for protecting consumer health and maintaining the integrity of the food supply chain. Contamination from foreign objects, such as metal, glass, plastic, or stones, ...

I tried to run the object detection using tensorflow example on macOS and it did not compile. The compilation errors are because of conflicting usage of conditions in ...

Abstract: Objects in household that are frequently in use often follow certain patterns with respect to time and geographical movement. Analysing these patterns can help us keep better track of our ...