• 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-Processing 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.
• 4 min read
How to Caption Images with a Multimodal Vision Model
Learn how to caption images using a multimodal vision model.
• 5 min read
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.
• 12 min read
How to Fine-tune Florence-2 for Object Detection Tasks
This tutorial will show you how to fine-tune Florence-2 on object detection datasets to improve model performance for your specific use case.
• 5 min read
Florence-2: Open Source Vision Foundation Model by Microsoft
Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.
• 7 min read
How to Fine-tune PaliGemma for Object Detection Tasks
Learn how to fine-tune the PaliGemma multimodal model to detect custom objects.
• 8 min read
Finetuning Moondream2 for Computer Vision Tasks
In this guide, we finetune and improve Moondream2, a small, local, fast multimodal Vision Language Model, for a computer vision task.
• 10 min read
PaliGemma: An Open Multimodal Model by Google
PaliGemma is a vision language model (VLM) developed and released by Google that has multimodal capabilities. Learn how to use it.
• 10 min read
GPT-4o: The Comprehensive Guide and Explanation
Learn what GPT-4o is, how it differs from previous models, evaluate its performance, and use cases for GPT-4o.
• 9 min read
Ultimate Guide to Using CLIP with Intel Gaudi2
Learn how to use CLIP on the Intel Gaudi2 chip. This guide discusses training and deploying a custom CLIP model on Gaudi2.
• 4 min read
Launch: YOLO-World Support in Roboflow
Learn how you can use YOLO-World with Roboflow.
• 6 min read
Best OCR Models for Text Recognition in Images
See how nine different OCR models compare for scene text recognition across industrial domains.
• 10 min read
What is Visual Question Answering (VQA)?
Learn what Visual Question Answering (VQA) is, how it works, and explore models commonly used for VQA.
• 6 min read
First Impressions with the Claude 3 Opus Vision API
The Roboflow team ran several computer vision tests using the Claude 3 Opus Vision API. Read our results.
• 6 min read
Multimodal Video Analysis with CLIP using Intel Gaudi2 HPUs
Learn how to use CLIP and the Intel Gaudi2 chip to run multimodal analyses and classification on videos.
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