WHAT IS VIDEO ANNOTATION?

Video annotation is the process of labeling or tagging video clips which are used for training computer vision models to detect or identify objects. Unlike image annotation, video annotation involves annotating objects on a frame-by-frame basis to make them recognizable for machine learning models.

High-quality video annotation generates ground truth datasets for optimal machine learning functionality. There are numerous deep learning applications for video annotation across industries including self-driving cars, medical AI, and geospatial technology.

OUR VIDEO ANNOTATION SERVICES

BOUNDING BOXES

It is the most commonly used type of image annotation in computer vision. We experts use rectangular box annotation to illustrate objects and train data, enabling algorithms with annotated images to identify and localize objects during the machine learning process. The simplicity of bounding boxes is exactly their strength, making this method of image annotation applicable for a wide range of uses.

POLYGON ANNOTATION

Expert annotators plot points on each vertex of the target object. Polygon annotation allows all of the object’s exact edges to be annotated, regardless of shape. This allows computer vision and other artificial intelligence models to recognize and respond to objects. This technique is especially useful in computer vision as annotators can use it to identify irregular shapes, allowing computers to identify and respond to them.

SEMANTIC SEGMENTATION

Images are segmented into component parts, by the our team, and then annotated. We experts detect desired objects within images at the pixel level. With expert semantic segmentation, data can be organized in multiple formats for AI models across a variety of use cases.

KEYPOINT ANNOTATION

Our teams outline objects and shape variations by connecting individual points across objects. This annotation type detects body features and could include facial expressions and emotions. Popular use cases for keypoint annotation involve facial recognition.

POLYLINE ANNOTATION

We experts create training datasets using polyline annotation that teach a machine learning model to identify physical boundaries to operate within. Popular use cases include autonomous vehicles and teaching them road boundaries.

Why Us

Quality With Accuracy

Get the best-in-class quality services with highest accuracy level delivering an excellence in image annotation through multiple stages of auditing and reviewing of labeled data.

Security With Privacy

We are certified with SOC 2 TYPE 1 Company for maintaining the high standards of data security with privacy while working with our clients to ensure their confidentiality.

Fully Scalable Service

Working with hundreds of workforce to annotate pictures as per the demand providing a completely scalable solution with turnaround time to meet the different client’ needs.

Cost-effective Pricing

Image annotation outsourcing to us means our clients get a cost-effective data labeling service helping them to minimize the cost of their project with best efficiency.

Contact Info.

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