Video & Image Annotation
Label or categorize videos and images at scale
Organize your media with discrete categories
Identify items of interest with one or many bounding boxes
Like bounding boxes, but with additional precision
Annotate objects with accurate width, depth, and height
Measure, yaw, pitch, and roll of an item of interest
Annotate timestamps in video and audio content
Annotate straight lines in an image
Classify each pixel of an image
Mark individual points in an image
Annotate freeform lines in an image
Transcribe text within an image or bounding box
Autonomous Vehicle Startup
Use case: Produce training data for object perception models.
Source data: Car footage
Data labeling type: Bounding boxes, cuboids, categorizations, semantic segmentation, polygons.
Volume: 1M bounding boxes, 600K cuboids, 1.6M+ categorizations.
Outcome: The company was able to optimize its autonomous vehicles’ processing accuracy by significant margins. We surpassed expectations and the client is now working exclusively with us.
Global Reinsurance Company
Use case: Evaluate roof damage on different properties both from normal wear-and-tear and natural disasters.
Source data: Aerial images of roofs.
Data labeling type: Polygons, semantic segmentations.
Volume: 10K polygons, 6,000 semantic masks.
Outcome: The client was able to use the output to automate damage assessment and streamline the claims adjustment process.
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