• 6 min read
Vision Token Counts: What does it cost to process an image with a frontier vision model?
Understand the cost, per-provider tokenization rules, and a comparison across image sizes for Claude, GPT, and Gemini.
• 5 min read
Which is the Best Coding Agent for Vision tasks?
Coding agents are quickly becoming the popular way to build applications, as they generate code, run it, debug errors, and iterate autonomously.
But how well do they perform on tasks related to visual understanding and vision applications? We evaluated the top 4 coding agents (claude code, gemini-cli, openai codex, Cursor)
• 7 min read
Best Multimodal Models in 2026
From SAM 3’s record-breaking segmentation speed to Gemini 3’s massive 2-million-token context window, explore the top models that can "see," reason, and deploy in production today.
• 5 min read
Launch: Use Segment Anything 3 (SAM 3) with Roboflow
Today, we are introducing new tools powered by Segment Anything 3 (SAM 3) that significantly change how people build computer vision applications.
SAM 3 is a powerful vision foundation model that detects, segments, and tracks objects in images and videos based on prompts. See our detailed SAM 3 model overview
• 9 min read
How to Detect, Track, and Identify Basketball Players with Computer Vision
Build a computer vision pipeline that detects, tracks, and identifies NBA players during a game. Using models like RF-DETR, SAM2, SigLIP, SmolVLM2, and ResNet, the system handles motion blur, occlusion, and uniform similarity to reliably map jersey numbers to player identities.
• 9 min read
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.
• 4 min read
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
• 5 min read
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.
• 4 min read
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.
• 5 min read
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]](https://storage.ghost.io/c/2c/8d/2c8d8c0d-1c15-4b6d-825e-02b78d61d40a/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.
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