Azure-Computer-Vision-in-a-day-workshop
Azure-ComputerVision-ImageAnalysis
| Azure-Computer-Vision-in-a-day-workshop | Azure-ComputerVision-ImageAnalysis | |
|---|---|---|
| 1 | 1 | |
| 42 | 1 | |
| - | - | |
| 7.2 | 4.1 | |
| about 1 year ago | 8 months ago | |
| Jupyter Notebook | C# | |
| - | MIT License |
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Azure-Computer-Vision-in-a-day-workshop
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Azure Cognitive for Vision - Large Foundation Model
To better illustrate this concept, I'm sharing this GitHub code that demonstrates the functionality in action: Azure-ComputerVision-ImageRetrieval. Additionally, I highly recommend this repository by Serge Retkowsky. In there, you'll find fantastic examples and demonstrations to kick-start your learning journey in the world of Azure Cognitive Services for Vision.
Azure-ComputerVision-ImageAnalysis
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Azure Cognitive for Vision - Large Foundation Model
The APIs it uses to extract this knowledge from the images are the image analysis APIs. I have created a console application in .NET using C# to demonstrate the powerful capabilities of the Florence model. This app gives you hands-on experience with Azure's Cognitive Services for Vision. You can explore different features, such as adding captions to images and dense captions. For those interested in testing this service using the console application, please visit my Github repository: Azure-ComputerVision-ImageAnalysis. Here, you'll find the necessary code and instructions to get started.
What are some alternatives?
maxvit - [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
smletsexchangeconnector - SMLets PowerShell based Exchange Connector for controlling Microsoft System Center Service Manager 2016+
ocrpy - OCR, Archive, Index and Search: Implementation agnostic OCR framework.
Azure-ComputerVision-ImageRetrieval - Azure-ComputerVision-ImageRetrieval (version 4.0 preview)
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.