Retail Product Detection

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 any other detections.

The output object in Hive detection APIs lists each detected object, including:

  • The geometric description of the detected bounding box.
  • The predicted class for the detection.
  • For some model’s, the confidence score for the detection.

When submitting a video to be processed, Hive’s backend splits the video into frames, runs the model on each frame, then recombines the results into a combined response for the entire video. The video output for a detector is similar to a list of detection output objects, but with multiple timestamps.

Retail Product Detection

Hive's retail product detection model detects specific products, such as beverages and packaged foods. Customers can request additional retail products to be added on a rolling basis.

Currently supported products include:


  • 7Up
  • AdeS
  • Crystal
  • Aquafina
  • Brisk
  • Coca Cola
  • Coca Cola Zero
  • Del Valle
  • Diet Coca Cola
  • Diet Pepsi
  • Fanta
  • Fuze
  • Gatorade
  • Guarana Antarctica
  • Kuat Guarana
  • Minute Maid
  • Monster Energy
  • Mountain Dew
  • Pepsi
  • Pepsi Max
  • Schweppes
  • Sierra_mist
  • Sprite
  • Sukita
  • Tropicana