• 6 min read
Launch: Deploy Florence-2 with Roboflow
Learn how to deploy a Florence-2 model with Roboflow.
• 6 min read
How to Augment Images for Keypoint Detection
Learn how to augment images for use in keypoint detection datasets with Roboflow.
• 8 min read
What is the Open Images Dataset? A Deep Dive.
SUMMARY
Open Images V7, released by Google in 2022, contains over nine million annotated images spanning nearly 20,000 categories and supports six annotation types: image-level labels, bounding boxes, segmentation masks, visual relationships, localized narratives, and point-level labels. That breadth makes it one of the few public datasets
• 5 min read
How to Augment Images for Image Classification
Learn how to generate augmented images for use in image classification datasets.
• 6 min read
How to Augment Images for Object Detection
Learn how to generate augmented images for use in object detection datasets.
• 4 min read
Document Understanding with Multimodal Models
Learn how to use the PaliGemma multimodal model to ask questions about the contents of a document.
• 4 min read
Visual Question Answering with Multimodal Models
Learn how to use the PaliGemma multimodal model to ask questions about images.
• 5 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.
• 11 min read
How to Train RT-DETR on a Custom Dataset with Transformers
SUMMARY
RT-DETR (Real-Time DEtection TRansformer), developed by Peking University and Baidu, is a transformer-based object detection model that targets competitive speed and accuracy compared to YOLO-family models. This tutorial covers fine-tuning RT-DETR on a custom dataset sourced from Roboflow Universe, using the HuggingFace Transformers
• 12 min read
Build Computer Vision Applications with Roboflow and Gradio
Learn how to build computer vision applications with Roboflow and Gradio.
• 16 min read
What is Thresholding in Image Processing? A Guide.
Learn what image thresholding is and the thresholding strategies you can use in computer vision applications.
• 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.
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