Video · Image · 3D / Point cloud · Multimodal / AI & Machine Learning
Video Action-Annotation Data — Worldwide Coverage, Bilingual Annotation Team
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
Video Action-Annotation Data — Worldwide Coverage, Bilingual Annotation Team is a multimodal dataset. Typical applications include machine translation, object detection, segmentation and 1 more. Relevant sectors: AI & Machine Learning. The listing mentions transcription and polygons / segmentation. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions transcription, polygons / segmentation.
The provider (Accurate Data Annotator) provides data collection, annotation, and human evaluation services for AI and machine learning development, with access to contributors across multiple regions and languages. We work in two main ways: Custom Data Collection & Annotation Services Send us your raw video, image, audio, or text files, or share your project requirements. The provider can provide structured annotation and human-led data services based on your specifications, including temporal action segmentation, object and scene labeling, transcription, sentiment and intent tagging, and named entity recognition. Ready-Made Annotated Datasets We offer pre-built dataset samples across video, audio, text, and image formats. Datasets can be quality-reviewed and prepared for delivery based on the intended use case and requirements. Our contributor network includes data annotators and data contributors across multiple languages and regions, including native and fluent speakers. This allows us to support demographic-specific data collection when a project requires defined characteristics such as age range, gender, region, language, or dialect. Rather than relying on a fixed one-size-fits-all pipeline, we adapt collection and annotation workflows to each project's requirements, including the required data type, population, quality criteria, and review process. The attached sample demonstrates our video labeling format. A short consumer-product clip is divided into six action segments, with each segm
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