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Description
Azure AI Content Safety serves as a robust content moderation system that harnesses the power of artificial intelligence to ensure your content remains secure. By utilizing advanced AI models, it enhances online interactions for all users by swiftly and accurately identifying offensive or inappropriate material in both text and images.
The language models are adept at processing text in multiple languages, skillfully interpreting both brief and lengthy passages while grasping context and meaning.
On the other hand, the vision models excel in image recognition, adeptly pinpointing objects within images through the cutting-edge Florence technology.
Furthermore, AI content classifiers meticulously detect harmful content related to sexual themes, violence, hate speech, and self-harm with impressive detail.
Additionally, the severity scores for content moderation provide a quantifiable assessment of content risk, ranging from low to high levels of concern, allowing for more informed decision-making in content management. This comprehensive approach ensures a safer online environment for all users.
Description
Florence-2-large is a cutting-edge vision foundation model created by Microsoft, designed to tackle an extensive range of vision and vision-language challenges such as caption generation, object recognition, segmentation, and optical character recognition (OCR). Utilizing a sequence-to-sequence framework, it leverages the FLD-5B dataset, which comprises over 5 billion annotations and 126 million images, to effectively engage in multi-task learning. This model demonstrates remarkable proficiency in both zero-shot and fine-tuning scenarios, delivering exceptional outcomes with minimal training required. In addition to detailed captioning and object detection, it specializes in dense region captioning and can interpret images alongside text prompts to produce pertinent answers. Its versatility allows it to manage an array of vision-related tasks through prompt-driven methods, positioning it as a formidable asset in the realm of AI-enhanced visual applications. Moreover, users can access the model on Hugging Face, where pre-trained weights are provided, facilitating a swift initiation into image processing and the execution of various tasks. This accessibility ensures that both novices and experts can harness its capabilities to enhance their projects efficiently.
API Access
Has API
API Access
Has API
Integrations
Azure AI Content Understanding
Azure AI Translator
Azure Marketplace
Azure Speaker Recognition
Azure Text to Speech
Azure Video Indexer
Crestwood Cloud
Microsoft Azure Responsible AI
QnA Maker
Integrations
Azure AI Content Understanding
Azure AI Translator
Azure Marketplace
Azure Speaker Recognition
Azure Text to Speech
Azure Video Indexer
Crestwood Cloud
Microsoft Azure Responsible AI
QnA Maker
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/ai-services/ai-content-safety/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
huggingface.co/microsoft/Florence-2-large
Product Features
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation