Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Planet also announced a new partnership with Deajeon, South Korea -based startup SI Analytics, which applies AI-powered Super Resolution and GeoAI Analytics, Object Detection/Segmentation ...

Segmentation is by far the most complicated type of classification task. Above: Image classification vs. object detection vs. semantic segmentation (credit: codebasics).

Hyderabad: A study based on road conditions in Hyderabad led to the development of a prototype autonomous electric vehicle (AEV) that can detect potho.

COCO is a larger-scale dataset for object detection, segmentation, and captioning, with 330K images in 80 object categories.

Image segmentation is another important step that involves dividing an image into multiple regions based on their characteristics. This step is often used in object detection and recognition.

AIMMO’s tools and services offer smart labeling, LiDAR data visualization, project management, object detection, segmentation, and more. Its products have current uses spanning applications including ...

Whereas video object segmentation focuses on isolating objects by leveraging spatio-temporal cues, saliency detection prioritises the most attention-grabbing regions in video sequences.