Object Detection for Autonomous Vehicles
Bounding box annotation is basically used to train autonomous vehicles to detect the various objects on the streets like lanes, traffic, potholes, signals, and other objects. This image annotation technique helps the self-driving vehicles recognize and understand their surroundings and all the objects in real-world scenario.
Automatic Tagging for Ecommerce and Retail
Image bounding box annotation is also used for highlighting the clothing and fashion accessories with automatic tagging to make visible for visual searching. This also works to annotate the goods and detect the item like fashion accessories and furniture picked from the shelf for automatic billing to customers in retail shops.
Why Bounding Box Annotation With Us
Specialize in image detection in images and videos using the advance tools and technique to provide the fine-quality image annotation solution enables to mark the images with complete precision and quality at demanding costing.
Data Annotation Industry Use Cases
A wide range of AI use cases can be achieved using data annotation & labeling. With nearly half a decade of industry experience, Anolytics claims to be a leader in data annotation & labeling services for various industries, from automobile to retail to e-commerce.
3D object detection, which is made possible with data annotation & labeling, is widely used in robotics to avoid collisions with dynamic objects, such as humans, animals, and movable characters.
Using computer vision algorithms, annotating bounding boxes of everything around a vehicle allows the car to detect objects such as pedestrians, vehicles, traffic signs, and barriers.
Embedding annotations & appropriate labels in AI is a significant part of discovering links between genetic codes, powering surgical robots, and optimizing healthcare processes & productivity.
AI in Retail
Appropriately performed image annotation & data labeling can play a crucial role in AI implementation to automate while also helping retailers to enhance the customers’ shopping experience.
AI implementations enabling automated or assisted flight can be made easier and more accessible through image annotation performed at the backend with autonomous flying training data.
IoT sensors and bounding box annotations can provide real-time data for AI algorithms to contribute to agricultural efficiency and yield improvement with real-time insights from their fields.