Deep learning package to use Hugging Face Visual Question Answering 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: Mar 1, 2025 Number of downloads: 69
Description
The HF Visual Question Answering deep learning package seamlessly integrates pre-trained Visual Question Answering (VQA) models from the Hugging Face Hub with ArcGIS, enabling you to utilize a variety of Hugging Face VQA models directly from ArcGIS. With this deep learning package, you can generate answers to open-ended questions, based on an image, using a pre-trained model designed to interpret and analyze visual data. The deep learning package is compatible with a wide range of Hugging Face models for VQA 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 imagery.
Output
Feature class with the generated response from the model.
Applicable geographies
The model is expected to work globally.
Model architecture
This deep learning package utilizes the model from the Hugging Face Visual Question Answering Models page, given the model ID.
Sample results
Here are a few results from the model.
huggingface_id: Salesforce/blip-vqa-base
prompt: 'What do you see in the image ?'
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Dashboard views: Desktop
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Dependent items in the recycle bin
Applicable: 2d
Size: 15.901 KB
ID: 439d0b0a183c49b2ad1bfba20c0cf72f
Image Count: 0
Image Properties
Layer Drawing
Using tiles from a cache
Dynamically from data
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