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Introduction to the model

Banner image for the model

The pretrained model available on ArcGIS Living Atlas of the World is a deep learning model that is used to classify images.

The HF Object Classification deep learning package seamlessly integrates pretrained image classification models from the Hugging Face Hub with ArcGIS, allowing you to use a variety of Hugging Face image classification models directly from ArcGIS. With this deep learning package, you can perform object classification to classify objects that the given pretrained Hugging Face model is designed to classify. The deep learning package is compatible with a wide range of Hugging Face models for Object Classification tasks.

Before running a model, ensure compliance with its licensing terms, which can be found on the Hugging Face model page. Run only trusted models, as they include weights and code that could impact system security. Since model sizes vary, ensure adequate CPU/GPU memory is available for inference.

Model details

This model has the following characteristics:

  • Input—8-bit RGB imagery.
  • Output—Feature class with information about classification of the image.
  • Compute—This workflow is compute-intensive, and a GPU with a minimum CUDA compute capability of 6.0 is recommended.
  • Applicable geographies—This model is expected to work well globally.
  • Architecture—This deep learning package uses the architecture of the chosen HF Object Classification Model.

Access and download the model

Download the HF Object Classification pretrained model from ArcGIS Living Atlas of the World. Alternatively, access the model directly from ArcGIS Pro, or consume it in ArcGIS Image for ArcGIS Online.

  1. Browse to ArcGIS Living Atlas of the World.
  2. Sign in with your ArcGIS Online credentials.
  3. Search for HF Object Classification and open the item_page from the search results.
  4. Click the Download button to download the model.

    You can use the downloaded .dlpk file directly in ArcGIS Pro.

Release notes

The following are the release notes:

DateDescription

February 2025

First release of HF Object Classification