Video datasets data

Video datasets are licensed footage with metadata for training and evaluating video understanding, video generation and multimodal models. Content ranges from stock and broadcast footage to driving recordings, sports, first-person video, industrial processes and screen recordings, often with captions, transcripts, scene labels or object tracks.

Typical fields

• Clip ID, duration, resolution and frame rate
• Source, capture date and device type
• Scene, action or event labels with timestamps
• Object bounding boxes or tracks across frames
• Captions, transcripts and audio language
• Camera motion and shot type
• Rights, releases and content restrictions per clip

Sources and methods

Footage comes from content libraries that license for AI, commissioned shoots, partner archives and devices such as dashcams or wearable cameras used by participants who have consented. Providers segment footage into clips, remove duplicates, filter low-quality or unsafe content and add machine-generated and human-reviewed labels. Identifiable faces, licence plates and private spaces need consent or anonymisation such as blurring.

Delivery and pricing

Video is large, so delivery is usually by cloud storage transfer, or physical drives for very large volumes, with metadata in JSON or Parquet. Pricing is commonly per hour or per clip, with higher rates for exclusive footage, high resolution, rare scenarios and detailed temporal annotation.

Before you buy

• Confirm explicit AI training rights, including for generative models.
• Ask how people and licence plates were consented or anonymised.
• Check the diversity of scenes, locations and conditions.
• Review caption quality on a sample.
• Agree delivery format, resolution and transfer method.