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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.

Description

Gemini 3.7 Flash represents Google's most advanced model for coding and agents, exhibiting significant enhancements in software engineering, knowledge-intensive tasks, web design, and intricate business processes. It excels in debugging and resolving issues, showcasing greater accuracy in first-pass code creation and a refined ability to generate code that is ready for production. When applied to web development, this model produces more functional designs and fully-featured applications with fewer prompts, maintaining strong adherence to design principles derived from screenshots, images, or comprehensive design systems. In fields with high knowledge requirements, such as finance, law, and biosciences, it enhances reasoning capabilities, precision, and comprehension of complex documents. Additionally, Gemini 3.7 Flash demonstrates superior performance in automating real-world workflows and executing multimodal tasks, catering to a range of applications from interactive web experiences and data storytelling to robotics and the creation of dynamically generated 3D content. Overall, its versatility makes it a powerful tool for a variety of professional domains.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Agent Search on Gemini Enterprise Agent Platform No 
C No 
C++ No 
Cheaper Inference No 
Cursor No 
Devin Desktop No 
Gemini 3.5 Flash Cyber No 
Gemini Enterprise No 
Gemini Enterprise Agent Platform No 
Gemini Enterprise Agent Platform Notebooks No 
Gemini Managed Agents No 
Google AI Mode No 
Google AI Overviews No 
Google AI Plus No 
Google Antigravity No 
Objective-C No 
OpenClaw No 
PHP No 
Vercel AI Gateway No 
YAML No 

Integrations

Agent Search on Gemini Enterprise Agent Platform Yes 
C Yes 
C++ Yes 
Cheaper Inference Yes 
Cursor Yes 
Devin Desktop Yes 
Gemini 3.5 Flash Cyber Yes 
Gemini Enterprise Yes 
Gemini Enterprise Agent Platform Yes 
Gemini Enterprise Agent Platform Notebooks Yes 
Gemini Managed Agents Yes 
Google AI Mode Yes 
Google AI Overviews Yes 
Google AI Plus Yes 
Google Antigravity Yes 
Objective-C Yes 
OpenClaw Yes 
PHP Yes 
Vercel AI Gateway Yes 
YAML Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$0.75 per 1M tokens (input)
$0.75/1M input and $3.75/1M output tokens
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

huggingface.co/microsoft/Florence-2-large

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

google.com

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