Deep learning model to classify oriented imagery. A brief summary of the item is not available. Add a brief summary about the item.
Deep learning package
by
Item created: Jun 24, 2024 Item updated: Mar 1, 2025 Number of downloads: 720
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/descriptions. This
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.
Layers
Tools
Tables
Basemap
Project Contents:
Solution Contents
Contents
Layers
Screenshots
Terms of Use
No special restrictions or limitations on using the item's content have been provided.
Details
Dashboard views: Desktop
Source:
Creating data in:
Published as:
Other Views:
Dependent items in the recycle bin
Applicable: 2d
Size: 314.913 MB
ID: 7110c332c31b4f56aaf50e48ae5dd41a
Image Count: 0
Image Properties
Layer Drawing
Using tiles from a cache
Dynamically from data
Share
Owner
Folder
Categories
This item has not been categorized.
Credits (Attribution)
No acknowledgements.OpenAI, Esri
Comments (0)