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How to Train RF-DETR on a Custom Dataset
Learn how to train an RF-DETR model on a custom dataset.
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RF-DETR: A SOTA Real-Time Object Detection Model
Today we are releasing RF-DETR, a state-of-the-art real-time object detection model. Learn more about how RF-DETR works and how to use the model.
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How I Taught My Dad Computer Vision with Roboflow in Under 30 Minutes!
Discover how I helped my dad build a custom computer vision model in under 30 minutes using Roboflow’s no-code AI tools.
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How Deep Learning Solves Machine Vision’s Biggest Frustrations
Learn how deep learning can be used to solve difficult vision problems at which traditional techniques struggle.
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Launch: Fine-Tune and Deploy Qwen2.5-VL Models with Roboflow
Learn how to fine-tune and deploy Qwen2.5-VL models with Roboflow.
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Launch: Roboflow Batch Processing
Learn how to use Batch Processing to run multi-step vision AI workflows on a folder of images or videos.
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How to Scan Pallets using Computer Vision
Learn how to build an automated pallet scanning system with computer vision technology.
![Foundational Few-Shot Object Detection Challenge [CVPR 2025]](/content/images/size/w640/2025/03/img-foundational-few-shot-object-detection-challenge-1.png)
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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.
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Computer Vision Applications
Computer vision applications are reshaping industries across the globe, enhancing efficiency, safety, and quality in ways that were previously unimaginable.
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SmolVLM2: Multimodal and Vision Analysis
Read our analysis of how SmolVLM2 performs on a range of multimodal vision tasks.
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Moondream 2: Multimodal and Vision Analysis
Read our analysis of how the multimodal Moondream 2 model performs on a range of vision tasks.
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Computer Vision Trends Report 2025
In our new report "Trends in Vision AI 2025," we delve into the key insights shaping the exciting field of computer vision, and explore how enterprises are successfully deploying vision AI to solve real-world challenges.
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Top Multimodal Models: A Complete Guide
Read our guide to the best multimodal vision models for use in tasks like OCR, object detection, and image classification.
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What Is A Computer Vision Platform?
Computer vision platforms play a crucial role in simplifying this process by offering tools and services that streamline the development pipeline.
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Multimodal Benchmark Datasets
When new multimodal models come out, they need to be tested on reliable benchmarks to see how well they perform across different tasks. Today we'll share some of the best multimodal benchmark datasets you can use to evaluate new models.
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Cohere Aya Vision: Multimodal and Vision Analysis
Learn how Cohere Aya Vision performs on a series of qualitative multimodal task evaluations.
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GPT-4.5 Multimodal and Vision Analysis
Read our analysis of how GPT-4.5 performs on multimodal vision tasks like VQA and object detection.
• 15 min read
What is a Foundation Model? An Introduction.
Learn how to use Foundation Models in Roboflow Workflows to interpret image and video.
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OpenCV Color Spaces and Conversion: An Introduction
Learn how to convert data from the default BGR OpenCV color space to RGB, HSV, and more.
• 16 min read
How to Improve the Accuracy of Your Computer Vision Model: A Guide
Read our tips on how to improve your computer vision model, guided by our experience helping hundreds of businesses train models.
• 12 min read
Different Types of AI Models and How to Use Them
Discover an overview of AI models, highlighting how they are trained, deployed, and used across different domains. Understanding the core concepts and how to use these models is essential for leveraging AI's full potential.
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Launch: Use YOLOv12 with Roboflow
Learn how to label data for, train, and deploy YOLOv12 models with Roboflow.
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How to Train a YOLOv12 Object Detection Model on a Custom Dataset
Learn how to train a YOLOv12 object detection model on a custom dataset.
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Parallel Inference Requests with Roboflow
Learn how to make parallel inference requests to the Roboflow Hosted API and to a Roboflow Dedicated Deployment.
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