Vidscanner

AI Training Datasets use case

COCO seed dataset from video

COCO seed dataset from video is a focused workflow for AI Training Datasets. Upload the recording, let VidScanner analyze the visual and spoken context, then review a structured output tied back to the source video.

Start free trial View AI Training Datasets

Sample input

Driving footage (urban / highway)

Sample output

Frame 12: person, forklift, pallet; Attribute: indoor warehouse lighting; Export: JSON or CSV

How it works

  1. Upload driving footage (urban / highway)
  2. Run VidScanner AI Training Datasets
  3. Review the generated output and evidence
  4. Export the result or continue searching the video library

Tips for this workflow

Up to 30 minutes per video (default cap)
Higher resolution = better label accuracy (Gemini multimodal benefits)
Mixed scene content produces a more balanced dataset than one continuous shot
If you need more frames, run multiple videos and concatenate the JSON exports