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

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

The pre-trained models included in both libraries have been trained on the COCO dataset, a large-scale object detection, segmentation, and captioning dataset which includes 80 object categories ...

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.

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 ...

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 ...