Best Bounding Box Annotation Services for Object Detection in Machine Learning

Bounding box annotation helps in object detection, localization, and classification in videos and images. It helps to identify objects by drawing a box around the objects within an image.

The image is marked as per the custom requirements of data-scientists and mostly involves drawing a box as close to the edges of the objects as possible.

Data Labeler helps to detect objects by annotating 2D boxes and 3D cuboids around objects of interest with a precision and high-quality.

Using our solution, you can build state-of-the-art ML-based Computer Vision models.

Object detection for training autonomous vehicles

Being one of the most commonly used image annotation techniques, it plays a major role in training autonomous vehicle models by tagging entities like vehicles, cyclists, pedestrians, and other obstacles within a traffic image.

Autonomous Tagging in E-commerce

Autonomous tagging of clothes, furniture & fashion accessories for training the visual search ML models in E-commerce.

Damage Detection for Insurance Claims

Train Machine Learning models to detect the degree of damage such as identification of car or roof damage for insurance claims.

Assured Quality

Our expert data labelers provide the best-in-class image labeling solution that delivers accurately labeled data to build your world-class Computer Vision projects.

Cost-Effective

We offer cost-effective best bounding box annotation services without compromising on accuracy.

Enterprise Scale

Data Labeler is ably supported by a team of more than 1000 full-time image annotators to provide highest-quality labeled data for enterprise-scale projects.