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How to use Florence-2 for Instance Segmentation

9 Jul 2024 • 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

How to Use GPT-4 To Extract Handwritten Text from Images

5 Jul 2024 • 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

eye tracking

28 Jun 2024 • 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

What is F1 Score? A Computer Vision Guide.

27 Jun 2024 • 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.

Florence-2: Vision-language Model

20 Jun 2024 • 5 min read

Florence-2: Vision-language Model

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.

edge detection

14 Jun 2024 • 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.

Use Cases for Computer Vision in Healthcare

9 Feb 2024 • 8 min read

Use Cases for Computer Vision in Healthcare

In this guide, we explore use cases for computer vision in healthcare, from pill counting to building automated inventory management systems.

What is DETR (Detection Transformers)?

25 Sep 2023 • 6 min read

What is DETR (Detection Transformers)?

In this guide, we discuss what DETR is, how it works, the strengths and disadvantages of DETR, and how DETR performs.

neuralhash collisions

19 Aug 2021 • 6 min read

ImageNet contains naturally occurring NeuralHash collisions

SUMMARY NeuralHash, the perceptual hashing model behind Apple's client-side CSAM detection system, is designed so that two distinct images should never share the same 96-bit hash. A search through ImageNet uncovered two naturally occurring image pairs with identical NeuralHashes, independent of the adversarially crafted collisions researchers

types

27 Feb 2020 • 4 min read

How to Select the Right Computer Vision Model Architecture

SUMMARY Choosing a computer vision model architecture for object detection involves trading off speed, accuracy, and deployment constraints. This post compares three architectures: YOLOv3, a single-shot detector optimized for speed at 60+ FPS with lower accuracy; MobileNet SSD, a single-shot detector slightly slower than YOLOv3 but stronger on

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