Deep object detection models have made significant strides, but the need for large training datasets…
This research aims to see if it can improve computer-based anomaly detection systems for contraband…
This study introduces a new dataset and pipeline for tracking cyclists to address the increasing…
Attaching a robotic arm on a drone and make it inspect apples in an orchard…
This research aims to evaluate the effectiveness of a machine learning architecture for object detection,…
Traffic analysis is currently a laborious task performed manually by human experts. Object detection models…
Object detection using CNNs requires a large amount of data to achieve decent performance in…
The health of seed potato crops is being threatened by viruses like the Potato Virus…
Traffic analysis is currently a laborious task performed manually by human experts. Object detection models…
X-ray scanners are commonly used to help prevent contraband from being smuggled into prisons. Analyzing…
