• 11 min read
Tomato Leaf Disease Detection and Diagnosis using Computer Vision
Learn how to build a tomato leaf disease detection and diagnosis system with computer vision.
• 4 min read
Red Zone Monitoring Using Computer Vision
Ensuring the safety of workers is crucial in industrial settings. One effective method to enhance safety is by creating a computer vision system to identify “red zones,” where heavy machinery is passed around, and where workers need to be extremely cautious.
This tutorial will guide you through the process of
• 11 min read
Automated Book Inventory using Computer Vision
Learn how to build a book inventory system with computer vision.
• 8 min read
People Counting Using Computer Vision
Introduction
Counting and keeping track of a large number of people entering and exiting an event can be challenging, especially when security is a priority. Traditional methods of monitoring people make it difficult for security officials to keep track of everyone in real-time. However, advancements in AI technologies like computer
• 5 min read
How to Augment Images for Image Segmentation
Learn how to generate augmented images for use in training instance segmenation models.
• 6 min read
Launch: Deploy Florence-2 with Roboflow
Learn how to deploy a Florence-2 model with Roboflow.
• 5 min read
How to Augment Images for Keypoint Detection
Learn how to augment images for use in keypoint detection datasets with Roboflow.
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• 8 min read
Top 7 Open-Source Object Tracking Tools [2025]
Object tracking is a computer vision task that can identify various objects and track them through the frames of a video.
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Knowing where an object is in a video has many real-life applications, especially in manufacturing and logistics. For example, object tracking can be used
• 8 min read
What is the Open Images Dataset? A Deep Dive.
The Open Images Dataset was released by Google in 2016, and it is one of the largest and most diverse collections of labeled images. Since then, Google has regularly updated and improved it. The latest version of the dataset, Open Images V7, was introduced in 2022.
Globally, researchers and developers
• 5 min read
How to Augment Images for Image Classification
Learn how to generate augmented images for use in image classification datasets.
• 5 min read
How to Augment Images for Object Detection
Learn how to generate augmented images for use in object detection datasets.
• 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.
• 11 min read
How to Train RT-DETR on a Custom Dataset with Transformers
RT-DETR, short for "Real-Time DEtection TRansformer", is a computer vision model developed by Peking University and Baidu. In their paper, "DETRs Beat YOLOs on Real-time Object Detection" the authors claim that RT-DETR can outperform YOLO models in object detection, both in speed and accuracy. The model
• 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.
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• 6 min read
The Guide to AI OCR [2025]
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.
• 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.
• 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
4M: Massively Multimodal Masked Modeling, released by Apple in 2024, is a leap forward in the field of multimodal machine learning. This model, building upon the growing capabilities of large language models, addresses critical challenges in vision models which have traditionally been highly specialized and limited to a single modality
• 5 min read
How to use Florence-2 for Instance Segmentation
Florence-2 is a lightweight model licensed under the MIT license. Although it has significantly fewer parameters than competing models like LLaVA 1.5, Florence-2 remains state-of-the-art due to the high-quality data it was trained on.
Florence-2 is capable of a variety of tasks, including visual question answering, captioning, image detection,
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