Deep learning package to classify pixels using Hugging Face image segmentation models. A brief summary of the item is not available. Add a brief summary about the item.
Deep learning package
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Item created: Dec 10, 2024 Item updated: Feb 4, 2025 Number of downloads: 66
Description
The
HF Pixel Classification deep learning package seamlessly integrates
pretrained image segmentation models from the Hugging Face Hub with
ArcGIS, enabling you to utilize a variety of Hugging Face image
segmentation models directly from ArcGIS. With
this deep learning package, you can perform pixel classification to
extract features that the given pretrained Hugging Face model is
designed to segment. The deep learning package is compatible with a wide range of Hugging Face models for Image Segmentation 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
Fine-tuning the model
This model cannot be fine-tuned using ArcGIS tools.
Input
8-bit, 3-band RGB imagery.
Output
Classified raster containing masks of various objects in 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 Segmentation Models page, given the model ID.
Sample results
Here are a few results from the model.
huggingface_id: ratnaonline1/segFormer-b4-city-satellite-segmentation-1024x1024
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Dashboard views: Desktop
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Applicable: 2d
Size: 19.621 KB
ID: 570ed7f757804b88b0c816e172bd5bc2
Image Count: 0
Image Properties
Layer Drawing
Using tiles from a cache
Dynamically from data
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