Learn how Shotzr’s AI makes programmatic
decisions about imagery, at scale.

Learn how Shotzr’s AI makes programmatic decisions about imagery, at scale.

The LocationID Model

Apply location data to imagery, at scale.

We apply best-in-class deep learning to the challenge of location data for imagery. This approach dramatically reduces the cost of applying location data to each image. Whether it’s identifying which retail location is featured in a social post, or assessing 100M images for location, LocationID scales to deliver location labels for images.

The LocationID contains both the lat/long location, a physical address, and a landmark label, if applicable.

Shotzr AI LocationID

The LocationID Model

Apply location data to imagery, at scale.

We apply best-in-class deep learning to the challenge of location data for imagery. This approach dramatically reduces the cost of applying location data to each image. Whether it’s identifying which retail location is featured in a social post, or assessing 100M images for location, LocationID scales to deliver location labels for images.

The LocationID contains both the lat/long location, a physical address, and a landmark label, if applicable.

Shotzr AI LocationID

The AdScore Model

Automate image selection for higher-performing ad creative.

Generate contextual ranking data on images in a large set — from 50 to 50 million – and receive AdScores. Use our data-driven AdScores to automate image selection for higher-performing ad creative.

A convolutional neural network assigns a score based on subjective and objective image quality. The AdScore generated will be based on what question you want the model to answer.

Example:

For this example the AdScore includes:

  • The image asset name.
  • A YES or NO as to whether the image model recommends using the image asset in your campaign.
  • And a number ranking based on how strong that recommendation is.
  • Here, the spectrum goes from -5 to 5 (strongly not recommended to strongly recommended).
Shotzr AI AdScore

The AdScore Model

Automate image selection for higher-performing ad creative.

Generate contextual ranking data on images in a large set — from 50 to 50 million – and receive AdScores. Use our data-driven AdScores to automate image selection for higher-performing ad creative.

A convolutional neural network assigns a score based on subjective and objective image quality. The AdScore generated will be based on what question you want the model to answer.

Example:

For this example the AdScore includes:

  • The image asset name.
  • A YES or NO as to whether the image model recommends using the image asset in your campaign.
  • And a number ranking based on how strong that recommendation is.
  • Here, the spectrum goes from -5 to 5 (strongly not recommended to strongly recommended).
Shotzr AI AdScore

Reverse Image Search

Source on-brand imagery, at scale.

Use our Reverse Image Search to analyze your best-performing assets and find similar rights-cleared or on-brand imagery to instantly deploy for campaigns.

Shotzr Reverse Image Search

Reverse Image Search

Source on-brand imagery, at scale.

Use our Reverse Image Search to analyze your best-performing assets and find similar rights-cleared or on-brand imagery to instantly deploy for campaigns.

Shotzr Reverse Image Search