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Deep learning package to classify objects using Hugging Face object classification models. A brief summary of the item is not available. Add a brief summary about the item.

‎Deep learning package by

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Item created: Dec 10, 2024 Item updated: Feb 22, 2025 Number of downloads: 47

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Description

The HF Object Classification deep learning package seamlessly integrates pre-trained image classification models from the Hugging Face Hub with ArcGIS, enabling you to utilize 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


Using the model

Follow the guide to use the modelBefore using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS


Fine-tuning the model
This model cannot be fine-tuned using ArcGIS tools.

Input
8-bit, 3-band RGB imagery.

Output

Feature class with information about classification of the image.


Applicable geographies

The model is expected to work globally.


Model architecture

This deep learning package utilizes the model from the Hugging Face Image Classification Models page, given the model ID.

Sample results
Here are a few results from the model.


An in-depth description of the item is not available.

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Terms of Use

https://downloads.esri.com/blogs/arcgisonline/esrilogo_new.png This work is licensed under the Esri Master License Agreement.

No special restrictions or limitations on using the item's content have been provided.

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