• 7 min read
The Guide to AI OCR
Learn what AI OCR is and how it is used in computer vision.
• 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.
• 5 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.
• 5 min read
What Is FPS? A Computer Vision Guide
Learn what FPS is and what FPS considerations you should keep in mind when working on computer vision projects.
• 7 min read
What is 4M? Apple's Massively Multimodal Masked Modeling
SUMMARY
Apple's 4M (Massively Multimodal Masked Modeling) framework trains a single unified Transformer encoder-decoder across text, images, 3D geometry, and semantic data by mapping all modalities to discrete tokens and applying a masked modeling objective on a random subset of them. Unlike specialized vision models constrained to
• 5 min read
How to use Florence-2 for Instance Segmentation
SUMMARY
Florence-2 is a lightweight MIT-licensed multimodal model from Microsoft that supports instance segmentation through text prompts, without requiring task-specific fine-tuning for many common use cases. This tutorial walks through loading Florence-2 in a Colab notebook, writing a segmentation function using the REFERRING_EXPRESSION_SEGMENTATION
• 5 min read
How to Use GPT-4 To Extract Handwritten Text from Images
SUMMARY
This tutorial builds a pipeline that combines a custom object detection model trained in Roboflow with GPT-4 Vision inside a Roboflow Workflow to extract and structure handwritten information from homework booklets. The object detection model localizes handwritten marks, and GPT-4 Vision reads time and name fields, with
• 4 min read
Computer Vision Solutions for Steel Manufacturing with Roboflow
Learn how computer vision can be used in steel manufacturing facilities.
• 19 min read
How to Monitor Productivity with Eye Tracking
SUMMARY
This tutorial builds a real-time productivity tracker that uses a custom object detection model to monitor eye position, pupil movement, face presence, and phone usage via webcam, then logs distraction events over time. The model is trained in Roboflow on roughly 125 labeled images and deployed locally, where
• 3 min read
Launch: Roboflow Project Folders
Learn how to use Roboflow's Project Folders to organize projects in your account workspaces.
• 4 min read
How to Set Up a Basler Camera on a Jetson
Learn how to set up a Basler camera on an NVIDIA Jetson for use in running computer vision models.
• 8 min read
What is F1 Score? A Computer Vision Guide.
Learn what F1 score is, for what it is used, and how to calculate F1 score.
• 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.
• 8 min read
What is Non-Max Merging?
Learn what Non-Max Merging (NMM) is and how to use NMM with comptuer vision mmodel predictions.
• 6 min read
Building a Vehicle Analytics Application with PaliGemma
Read how Nick created a vehicle analytics application using the PaliGemma multimodal model.
• 5 min read
Florence-2: Vision-language Model
Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.
• 5 min read
Launch: Deploy YOLOv10 Models with Roboflow
Learn how to deploy a YOLOv10 model on Roboflow.
• 8 min read
How To Train and Deploy an ANPR System
Learn how to train and deploy a license plate detection model for use in building an ANPR system.
• 18 min read
Edge Detection in Image Processing: An Introduction
Learn what edge detection is and how to apply common edge detection algorithms to ab image.
• 7 min read
What is YOLOv10? An Architecture Deep Dive
Learn about the main architectural components of YOLOv10 that contribute to the model's state-of-the-art speed and accuracy.
• 10 min read
Smart Home Monitoring with Computer Vision and IoT
Learn how to monitor and control your smart home with computer vision and IoT technology.
• 6 min read
Gesture-Based Presentation Controller using Computer Vision
Learn how to use computer vision to build a gesture-based presentation controller.
• 7 min read
Top 5 Image Augmentation Tools for Computer Vision: A Guide
Learn about five tools you can use to generate augmented image data for use in training computer vision models.
• 6 min read
How to Train a YOLOv10 Model on a Custom Dataset
Learn how to train a YOLOv10 model using a custom dataset.
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