Florence-2

Florence-2

Microsoft
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About

Florence-2-large is an advanced vision foundation model developed by Microsoft, capable of handling a wide variety of vision and vision-language tasks, such as captioning, object detection, segmentation, and OCR. Built with a sequence-to-sequence architecture, it uses the FLD-5B dataset containing over 5 billion annotations and 126 million images to master multi-task learning. Florence-2-large excels in both zero-shot and fine-tuned settings, providing high-quality results with minimal training. The model supports tasks including detailed captioning, object detection, and dense region captioning, and can process images with text prompts to generate relevant responses. It offers great flexibility by handling diverse vision-related tasks through prompt-based approaches, making it a competitive tool in AI-powered visual tasks. The model is available on Hugging Face with pre-trained weights, enabling users to quickly get started with image processing and task execution.

About

Molmo 2 is a new suite of state-of-the-art open vision-language models with fully open weights, training data, and training code that extends the original Molmo family’s grounded image understanding to video and multi-image inputs, enabling advanced video understanding, pointing, tracking, dense captioning, and question-answering capabilities; all with strong spatial and temporal reasoning across frames. Molmo 2 includes three variants: an 8 billion-parameter model optimized for overall video grounding and QA, a 4 billion-parameter version designed for efficiency, and a 7 billion-parameter Olmo-backed model offering a fully open end-to-end architecture including the underlying language model. These models outperform earlier Molmo versions on core benchmarks and set new open-model high-water marks for image and video understanding tasks, often competing with substantially larger proprietary systems while training on a fraction of the data used by comparable closed models.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Researchers and AI developers needing a tool to perform complex vision tasks like object detection, captioning, and OCR

Audience

Researchers, developers, and AI practitioners who need an open, state-of-the-art video and multi-image understanding model for grounded vision, tracking, and reasoning tasks

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
huggingface.co/microsoft/Florence-2-large

Company Information

Ai2
Founded: 2014
United States
allenai.org/blog/molmo2

Alternatives

PaliGemma 2

PaliGemma 2

Google

Alternatives

Pixtral Large

Pixtral Large

Mistral AI
SmolVLM

SmolVLM

Hugging Face
GLM-4.1V

GLM-4.1V

Zhipu AI
Devstral 2

Devstral 2

Mistral AI
Phi-2

Phi-2

Microsoft

Categories

Categories

Integrations

Ai2 OLMoE
Bluesky
Hugging Face
Olmo 2
Threads

Integrations

Ai2 OLMoE
Bluesky
Hugging Face
Olmo 2
Threads
Claim Florence-2 and update features and information
Claim Florence-2 and update features and information
Claim Molmo 2 and update features and information
Claim Molmo 2 and update features and information