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 – 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, Hive’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

Hive’s logo model is the world’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:

aerial stadium
ball
basketball arm
basketball pole pad
bball stanchion
car
car cockpit halo
car front wing
car nose
car rear wing
car sidepod
cricket stumps
cup bottle can
double box
dugout
dugout lip
dugout railing
dugout roof
dugout wall
fan area
field goal post
football team bench
foul pole
goal post pad
golf club
hat
headphones
helmets
hockey glass signage
home plate sign
jersey
jumbotron screen
laptop
lower level banner
lower third
media backdrop
microphone
network bug
on court seating
on deck circle
pitchers mound
player fan tunnel
playing area
score bar
shoe
sideline bench
stadium front
static sign
studio show
tennis clock
tennis net
ticker
upper level banner
watches

Supported File Types

Image Formats:
gif
jpg
png
webp

Video Formats:
mp4
webm
avi
mkv
wmv
mov