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 ...

These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

Deep learning techniques like Convolutional Neural Networks (CNNs) have proven to be especially powerful in tasks such as image classification, object detection, and semantic segmentation.

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 ...

Image classification is one of AI's most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

In recent years, ECCV has established itself as a prime venue for the presentation of AI research papers including image classification, object detection, and other technologies using deep learning.