• 8 min read
How to Reduce Dataset Size Without Losing Accuracy
Learn how to reduce the size of your computer vision dataset without losing accuracy.
• 4 min read
Preventing Treadmill Injuries with an Automated Stopping Mechanism
In this blog post, I walk through how I built a system to prevent treadmill injuries with a computer vision powered automated stopping mechanism.
• 10 min read
How to Use Computer Vision for Environment Monitoring
This article was contributed to the Roboflow blog by Abirami Vina.
Measuring changes to our environment is an important part of understanding progress made toward a more sustainable world. Historically, measuring the world around us required time-intensive human monitoring and measurement by a small number of expert scientists. Thanks to
• 5 min read
Detect and Segment Oil Spills Using Computer Vision
An oil spill in the sea is a devastating environmental incident that occurs when oil is released into the marine environment. Oil spills pose significant threats to marine ecosystems, wildlife, and coastal communities, and they can have long-lasting and far-reaching consequences.
Due to the logistical difficulties in getting to impacted
• 6 min read
Build a Chess Game Recorder with Computer Vision
This article was contributed to the Roboflow blog by the team at A1H1.
Introduction
The project of making an automated chess game recorder started after finding out that a chess set with sensors costs ~$500 USD! This price tag is not very accessible for everyday chess players or local chess
• 5 min read
Prompting Google Bard with Images & How it Compares to Bing
Google Bard Accepts Images in Prompts
Google’s large language model (LLM) chatbot Bard recently unveiled a feature to accept image prompts, making it multimodal. It strikes comparisons with a similar feature recently released from Microsoft’s Bing chat, powered by OpenAI’s GPT-4.
In our review of Bing’s
• 5 min read
Improve Accuracy: Polygon Annotations for Object Detection
In this blog post, we will explore how you can improve your object detection model performance by converting your bounding box annotations to polygon annotations. We will also discuss the use of augmentations with polygon annotations and using pretrained weights to further boost performance. By the end of this post,
• 5 min read
How to Use Generative AI to Augment Computer Vision Data
Dive deep into Kopikat.co, a tool for generative data augmentation created by OpenCV.ai to improve the quality of datasets.
• 4 min read
Detecting Objects with DETIC vs Custom Training
Learn how to evaluate large foundation models and how custom model training can improve performance.
• 6 min read
From Novice to Knowledge: My Journey Building a Gesture Recognition Model with Roboflow
This guide shows how Eli, a Sales Development Representative at Roboflow, made a computer vision model to recognize hand gestures.
• 5 min read
Auto-Label Classification Datasets Using CLIP
Labeling large datasets can be a time-consuming and labor-intensive task. However, with advancements in deep learning and natural language processing, it is now possible to automate the labeling process.
In this blog post, we will guide you through the process of using CLIP (Contrastive Language-Image Pretraining) and Roboflow to automatically
• 8 min read
Automated Computer Vision Inspection of Physical Pipelines
In this guide, we show how to identify various types of pipeline defects using computer vision.
• 7 min read
Not All mAPs are Equal and How to Test Model Robustness
Learn how to stress-test the robustness of computer vision models.
• 11 min read
Automatic Habit Disruption with Computer Vision
Learn how a Roboflow user built a tool to disrupt a Trichotillomania habit with computer vision.
• 10 min read
No Code Computer Vision with Roboflow + Zapier
Learn how to use the Roboflow Zapier integration to implement no-code computer vision workflows.
• 4 min read
Resume OCR: How to Use YOLOv5 for Automated Resume Parsing
In this post, learn how computer vision was used to segment columns in a resume for use in resume parsing.
• 11 min read
From Idea to Reality: Building a Computer Vision Scavenger Hunt for SXSW
Learn about how we built a scavenger hunt app in two weeks and got 200 strangers to play in celebration of SXSW 2023.
• 3 min read
Announcing the Roboflow SXSW Scavenger Hunt
Play the computer vision-powered Roboflow SXSW Scavenger Hunt for a chance to earn a $1,000 prize.
• 6 min read
Represent Chess Boards Digitally with Computer Vision
In this guide, learn how Shai Nisan used computer vision to translate a photo of a chess board into FEN notation.
• 7 min read
How to Build a Stable Diffusion Image-to-Image Pipeline
In this article, we discuss how to build a Stable Diffusion image generation pipeline using SageMaker Studio Labs, Hugging Face, and Roboflow.
• 8 min read
How to Deploy a YOLOv8 Model Using Roboflow and Repl.it
In this guide, we walk through how to train and deploy a YOLOv8 model using Roboflow, Google Colab, and Repl.it.
• 8 min read
How to Deploy a YOLOv8 Model to a Raspberry Pi
In this article, you'll learn how to deploy a YOLOv8 model onto a Raspberry Pi.
• 17 min read
Monitor Movement in Retail Stores with Computer Vision
In this article, we walk through how to monitor movement in areas of a retail store using computer vision
• 7 min read
Computer Vision Assisted Structural Damage Inspection Using Drones
In this post, Timothy Malche walks through how to inspect structural damage with computer vision and drones.
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