Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos.

It shows an example of using a model pre-trained on MS COCO to segment objects in your own images. It includes code to run object detection and instance segmentation ... to differences between how ...

This innovative approach significantly enhances object detection accuracy while reducing reliance on real-world images. Pointing out that gathering such real-world data can be expensive ...

They took images of real objects – such as parts of a pneumatic cylinder – and blended them with different background scenes where object detection has previously struggled. As per IISc ...

a global leader in crisis detection and monitoring, has announced a significant expansion of its data sources through an official integration with Reddit's Data API. This partnership enables ...

The broadcaster painstakingly pieced together damage to other parts of the city using a combination of phone videos, satellite imagery and Nasa heat detection images. Verify dedicated much time ...

Abstract: Small object detection in remote sensing images faces challenges such as weak features, vulnerability to inter ference, and limited object visibility. These factors have made it a ...

Abstract: The objective of hyperspectral remote sensing image salient object detection (HRSI-SOD) is to identify objects or regions that exhibit distinct spectrum contrasts with the background. This ...