Image Annotation

Leveraging Supermarket Annotation: Real-world Examples

Many supermarkets will benefit from the help of annotations. As the technology grows, we will witness new ways in which annotation will impact all industries, including supermarket chains. Some of the well-known supermarkets that have leveraged annotations are: 1. Walmart: Walmart is a retail giant that used supermarket annotation to work on its inventory management. …

Leveraging Supermarket Annotation: Real-world Examples Read More »

The Impact of Supermarket Annotations: Part 2

Annotation can be crucial for any supermarket. In part 1 of this, we explained how it can help staff, retail designers, stock managers, and store managers. Let us understand how it can help other people.  With the help of annotations, people in a supermarket can make informed decisions. Notes on customer behaviors, popular products, and …

The Impact of Supermarket Annotations: Part 2 Read More »

The Impact of Supermarket Annotations: Part 1

Annotations help every kind of industry. Supermarkets are also amping up their capabilities with its help. It can permit multiple parties like:  Annotations streamline inventory communication. Simple notes on stock levels and reorder points become the backbone of efficient stock management, ensuring shelves are consistently well-stocked. Annotations are invaluable for layout optimisation. Notes on product …

The Impact of Supermarket Annotations: Part 1 Read More »

Types of Video Annotations

2D Bounding Boxes: The rectangular boxes are made use of to identify objects, label and to categorize. You need to draw the boxes manually around objects in motion across many frames. The box is placed closer to the edge of the object and labelled correctly for classes and attributes. It helps in the depiction of …

Types of Video Annotations Read More »

Uses of Semantic Segmentation Medical Image Annotation

Semantic segmentation image annotation is used to annotate various types of medical images like X-rays, MRI and CT scans of several organs or parts of the human body. It also helps to annotate or highlight the human body organs partially that are injured due to illnesses. The key benefit of semantic segmentation is, it helps …

Uses of Semantic Segmentation Medical Image Annotation Read More »

Semantic Segmentation for Medical Image – Single Class

There are several techniques of image annotation used to establish the AI model through machine learning. Some of them include cuboid annotation, polygon annotation and bounding box. However, semantic segmentation is the best demonstrative technique that provides the detailed findings with illnesses segmented and categorised in an individual class. Medical image segmentation aids to detect …

Semantic Segmentation for Medical Image – Single Class Read More »

Overview of Semantic Image Segmentation for Clinical Imaging Datasets

Telemedicine is evolving rapidly and hence the need for quicker transmission of diagnostic clinical images and image processing arises. AI in healthcare has become highly significant with more accurate detection of illnesses using medical imaging datasets. As a result, it helps AI models to understand and track various types of illnesses using computer vision technology. …

Overview of Semantic Image Segmentation for Clinical Imaging Datasets Read More »