DETR achieves results comparable to Faster R-CNN, an object detection model created primarily by Microsoft Research that’s earned nearly 10,000 citations since it was introduced in 2015, ...

Fig. 1: DETR transformer model compares its prediction with the ground truth. When there is no match, it would yield a “no object.” A match would validate an object. Source: “End-to-End Object ...

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 ...

EfficientDet is the next-generation version of EfficientNet, a family of advanced object detection models made available last year for Coral boards.Google engineers Mingxing Tan, Google Ruoming ...

The integration of UAVs and AI is enabling faster, safer, and more scalable ecological surveillance. Multirotor drones offer ...

It comes with Azure Machine Learning, a cloud service to build and deploy ML models faster. In the monthly September update to ML.NET -- bringing it to v1.5.2 -- Microsoft introduced: The ability to ...

The SpotlightAI™ software ecosystem utilizes advanced machine learning (ML) models for small object detection and data reporting built on an extensive proprietary dataset capable of rapidly ...