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How to Fine-Tune Qwen2.5-VL with a Custom Dataset
Learn how to fine-tune Qwen2.5-VL for document processing using a custom dataset.
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GPT-5 for Vision: Results from 80+ Real-World Tests
On August 7th, 2025, OpenAI released GPT-5, the newest model in their GPT series. GPT-5 has advanced reasoning capabilities and, like many recent models by OpenAI, multimodal support. This means that you can both prompt GPT-5 with one or more images and ask for an answer, but also prompt the
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Use Qwen2.5-VL for Zero-Shot Object Detection
Qwen2.5-VL is the latest addition to the Qwen vision-language model series, offering cutting-edge capabilities for image, text, and document understanding.
Available in three model sizes—3B, 7B, and 72B—it excels at tasks such as object detection, OCR for multi-language and rotated text, and structured data extraction from complex
• 7 min read
How to Fine-Tune a SmolVLM2 Model on a Custom Dataset
Learn how to fine-tune SmolVLM2 for visual question answering using a custom dataset.
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OpenAI o3-pro: Multimodal and Vision Analysis
Explore how OpenAI o3-pro does on a range of use cases, from defect detection to object counting to VQA.
• 6 min read
OpenAI o3 and o4-mini: Multimodal and Vision Analysis
Read our analysis of how OpenAI's O3 and O4-Mini models perform on a range of vision tasks.
• 5 min read
OpenAI GPT-4.1: Multimodal and Vision Analysis
Read our analysis of OpenAI's GPT-4.1 model on multimodal tasks like VQA, object detection, and more.
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Gemma 3: Multimodal and Vision Analysis
Read our analysis of Google's Gemma-3 model and how it performs on a variety of common multimodal vision AI tasks.
![Foundational Few-Shot Object Detection Challenge [CVPR 2025]](/content/images/size/w640/2025/03/img-foundational-few-shot-object-detection-challenge-1.png)
• 1 min read
Foundational Few-Shot Object Detection Challenge [CVPR 2025]
Roboflow & Carnegie Mellon University are releasing the second iteration of the Foundational Few-Shot Object Detection Challenge at CVPR 2025.
• 5 min read
SmolVLM2: Multimodal and Vision Analysis
Read our analysis of how SmolVLM2 performs on a range of multimodal vision tasks.
• 6 min read
Moondream 2: Multimodal and Vision Analysis
Read our analysis of how the multimodal Moondream 2 model performs on a range of vision tasks.
• 7 min read
OpenAI o3-mini: Vision and Multimodal Features
Read our analysis of how OpenAI's O3 Mini model performs on various computer vision tasks.
• 8 min read
What is Few-Shot Learning?
In this blog post, we discuss what few-shot learning is, architectural approaches for implementing few-shot learning, and specific implementations of few-shot learning techniques.
• 13 min read
How to Fine-tune PaliGemma 2
Learn how to fine-tune PaliGemma 2 to extract data from an image in JSON format.
• 6 min read
Launch: Use Florence-2 in Roboflow Workflows
Learn how to use Florence-2 in Roboflow Workflows for zero-shot object detection, OCR, and more.
• 7 min read
Table and Figure Understanding with Computer Vision
Learn how to use Roboflow Workflows and multimodal models to derive information about the contents of tables and figures.
• 15 min read
What is CLIP? Contrastive Language-Image Pre-Training Explained.
CLIP is an open source, multimodal computer vision model developed by OpenAI. Learn what CLIP is in this guide.
• 7 min read
How to OCR Hand-Written Notes with GPT-4
Learn how to OCR hand-written notes with GPT-4.
• 3 min read
Document Understanding with Multimodal Models
Learn how to use the PaliGemma multimodal model to ask questions about the contents of a document.
• 3 min read
Visual Question Answering with Multimodal Models
Learn how to use the PaliGemma multimodal model to ask questions about images.
• 4 min read
Understand Website Screenshots with a Multimodal Vision Model
Learn how to use the Florence-2 multimodal model to generate rich descriptions of website screenshots.
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How to Caption Images with a Multimodal Vision Model
Learn how to caption images using a multimodal vision model.
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How to Use Florence-2 for Optical Character Recognition
Learn how to use the Florence-2 model for Optical Character Recognition tasks.
• 4 min read
What is Dense Image Captioning?
Learn what dense image captioning is and how to use the MIT-licensed Florence-2 model to generate dense image captions.
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