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Deep learning model to classify oriented imagery. A brief summary of the item is not available. Add a brief summary about the item.

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Item created: Jun 24, 2024 Item updated: Mar 1, 2025 Number of downloads: 720

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Description

This deep learning model, powered by CLIP (Contrastive Language-Image Pretraining), is used to classify an image into one of the several classes defined by the user. It uses CLIP's pre-trained knowledge of image and text relationships to classify images based on your provided class names/descriptionsThis model works well on oriented imagery and works on single input image or a folder full of images. In addition to assigning a class to the image, it also provides a probability score for the classification. 

Using the model
Follow the guide to use the model. Before 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 RGB oriented images.

Output

Feature class with information about classification of the image.

Applicable geographies

This model is expected to work well globally.

Model architecture

The implementation is based on the OpenAI's CLIP with ViT-B-32 transformer architecture.


Accuracy metrics
Refer to the original model card for CLIP.

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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    Dashboard views: Desktop

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          Applicable: 2d

          Size: 314.913 MB

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          ID: 7110c332c31b4f56aaf50e48ae5dd41a

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          OpenAI, Esri

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