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.

Multi-label, Pixel-Perfect Self-Driving Cars Image Annotation

Our experienced annotators detect and label cars, pedestrians, traffic signs, lanes, obstacles, and all kinds of vehicles. Annotation quality is guaranteed: from compliance of your annotation guidelines to pixel-perfect accuracy of the bounding boxes. Every pixel and label counts. Our in-house specialists currently handle millions of annotations per month and we are ready to take projects at scale.

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