๐Ÿ‘œ Logo & Logo Location

Visual Detection Overview

Visual detection models localize an object of interest in an image by returning a box that bounds that object, as well as the type of that object, also referred to as the class. A detector can detect multiple objects of different classes per image. For each detection, a detector outputs a confidence score that is independent of other detections.

For Hive's logo detection model, the output object lists each logo detected in the visual input, including:

  • A geometric description (coordinates) of a bounding box for each detection.
  • The predicted class for the detection (typically a brand or company represented by the logo)
  • A clarity score for each detected logo that represents visible identifiability โ€“ logos that are out of focus, not fully visible, or otherwise occluded will have lower clarity scores
  • A location or display surface for the detected logo (e.g., a ball or stadium sign)

For a video input, Hiveโ€™s backend splits the video into frames, runs the model on each frame, then recombines the results into a combined response object. The video output for a detector is similar to a list of detection output objects, but with multiple timestamps for each sampled frame.

Logo Detection Model and Detection Locations

Hiveโ€™s logo model is the worldโ€™s most comprehensive logo model, boasting tens of millions of training labels and capable of recognizing 11,000+ logos. Our API's return detailed information on each logo in an image or video (location/size/clarity) as well as what kind of object the logo is placed on. Please contact our sales team for the complete list of logos or to inquire whether a specific logo is covered. Additional logos and locations can be requested on a rolling basis. For more information on use-cases and to see our models in action, see here.

Hive's logo model can detect logos on a wide variety of objects and locations, including:

  • balls
  • cars
  • golf clubs
  • hats
  • headphones
  • helmets
  • jerseys
  • shoes
  • watches
  • basketball stanchions
  • fan areas
  • jumbotrons
  • lower-level banners
  • playing areas
  • upper-level banners
  • aerial stadium
  • media backdrop
  • stadium front
  • dugout
  • home plate sign
  • static sign
  • field goal post
  • football team benches
  • basketball pole pad
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Supported File Types

Image Formats:
gif
jpg
png
webp

Video Formats:
mp4
webm
avi
mkv
wmv
mov


Whatโ€™s Next

See the API reference for more details on the API interface and response format.