Bike helmet detection using resizing
We provide an object detection model that demonstrates the usability of deep learning in helmet…
We provide an object detection model that demonstrates the usability of deep learning in helmet…
This study introduces a new dataset and pipeline for tracking cyclists to address the increasing…
This paper focuses on automatic identification of defective roofs and window casings using anomaly detection.…
We propose an automated classification approach using CNNs to detect and classifybuilding components. Aerial images…
Attaching a robotic arm on a drone and make it inspect apples in an orchard…
In prisons, X-ray scanners are often used to find illegal items, and anomaly detection algorithms…
This research aims to evaluate the effectiveness of a machine learning architecture for object detection,…
Given the hyper-spectral imaging unique potentials in grasping the polymer characteristics of different materials, it…
Traffic analysis is currently a laborious task performed manually by human experts. Object detection models…
With new regulations around unmanned aerial vehicles (UAV) use in the European Union, the drone…