VIDEO ANNOTATION SERVICES
Create highly accurate models with labeled video datasets. We provide video classification and annotation services, including LIDAR, object detection, video tracking and more.
Video-level Annotation
Metadata will be assigned to the video file as a whole, including transcription.
Video segment-level Annotation
Identify time intervals in a given video file (timestamp). Metadata will be assigned to each segment of video, including transcription, an action description, and condition identification.
Frame-level Annotation
Add any metadata to an image as a whole including image classification/labeling, image captioning, any other attributes required.
Object-level Annotation
Bounding Box
The standard in image annotation using precise bounding box annotation allows you to train your AI model to detect all sorts of objects in images for any desired application: autonomous driving, image scanning models, and more!
Object-level Annotation
Polygon
Does your image present complex structures? Not to worry, polygon annotation enables you to accurately draw around every corner of the desired object. Irregular shapes are no longer an issue.
Object-level Annotation
Semantic & instance segmentation
This is an automated tool that will speed up your workflows when aspects need to be annotated using pixel wise segmentation. You may adjust pixel size according to the objects you need enhanced. The DataForce platform can also distinguish between different instances of the same object type.
Object-level Annotation
Landmarks
Also known as keypoint annotation, this feature helps you annotate structural points of interest in your video. It is commonly used in face recognition moels to detect movement, expression, and even emotion.
DataForce Benefits.
Scalable
Onboard 0-1000 annotators within weeks of project kickoff, leveraging a global community of over 1.3 million contributors
Secure
Your data is secure with SSAE 16 SOC 2, ISO 27001, HIPAA & GDPR
Seamless
Integrate directly with the DataForce annotation platform, yours or a third party of your preference
Let's work together!
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