Back in 2001, two computer scientists, Paul Viola and Michael Jones, triggered a revolution in the field of computer face detection. After years of stagnation, their breakthrough was an algorithm ...

Object detection models are much more complex than image classification networks and require more memory. “We added computer vision support to Edge Impulse back in 2020, and we’ve seen a ...

A technical paper titled “Performance/power assessment of CNN packages on embedded automotive platforms” was published by researchers at University of Modena and Reggio Emilia. Abstract: “The rise of ...

Frameworks for AI image processing. Open CV ; OpenCV is a well-known computer vision library that provides numerous algorithms and utilities to support the algorithms. The modules for object detection ...

Object detection takes image classification one step further and provides the bounding box where detected objects are located. Segmentation comes in two flavors: semantic segmentation and instance ...

Multiclass object detection uses advanced computer vision algorithms to identify and differentiate between classes of ships, aircraft and vehicles within satellite imagery.

SATIM's OREC AI solution, utilizing Capella’s SAR data, offers precise detection and classification of vessels, aircraft, and ground targets in overhead SAR images.

AI that uses sketches to detect objects within an image could boost tumor detection, and search for rare bird species. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases ...