Florence-2 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.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
huggingface.co/microsoft/Florence-2-large
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support
Florence-2 Features and Options
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