• 8 min read
What is Computer Vision? Comprehensive Guide [2026]
Learn about computer vision and how you can use it to solve problems.
Blog
Trevor Lynn
Trevor leads Marketing at Roboflow. He focuses on sharing insights from Roboflow customers to inspire the broader AI community and help advance visual AI.
Latest Posts by Trevor Lynn
• 3 min read
Computer Vision for Automotive Manufacturing
SUMMARY
Automotive manufacturers are applying computer vision across four core areas to improve quality and reduce cost: defect detection (metal, glass, missing parts, faulty seals), error proofing procedures that catch mistakes as they happen, OCR and OCV for part identification and character verification, and worker augmentation that guides operators through
• 10 min read
PaliGemma: An Open Multimodal Model by Google
PaliGemma is a vision language model (VLM) developed and released by Google that has multimodal capabilities. Learn how to use it.
• 10 min read
GPT-4o: The Comprehensive Guide and Explanation
Learn what GPT-4o is, how it differs from previous models, evaluate its performance, and use cases for GPT-4o.
• 3 min read
Using Computer Vision to Create AR Experiences
This blog post is contributed by Hart Woolery, Founder and CEO, 2020CV.
Introduction
I’ve always been fascinated by special effects in movies and video games. My career took an interesting turn in 2017 when I began experimenting with OpenCV to potentially land a job in the field of Computer
• 9 min read
Blue Eco Line Reduces River Pollution with Roboflow and Intel Sapphire Rapids
SUMMARY
Blue Eco Line deploys cameras on bridges to measure plastic waste entering and leaving cities, then uses an autonomous conveyor belt guided by computer vision to physically remove pollution from rivers. The pipeline uses Roboflow to collect, upload, and label plastic waste images, then trains a YOLOv8 model on
• 5 min read
NeurIPS 2023 Papers Highlights
NeurIPS 2023, the conference and workshop on Neural Information Processing Systems, took place December 10th through 16th. The conference showcased the latest in machine learning and artificial intelligence. This year’s conference featured 3,584 papers that advance machine learning across many domains. NeurIPS announced the NeurIPS 2023 award-winning
• 4 min read
Distilling GPT-4 for Classification with an API
In this guide, learn how to distill GPT-4V to train an image classification model.
• 11 min read
Improving Vision Model Performance Using Roboflow & Tenyks
SUMMARY
A collaboration between Roboflow and Tenyks showing that model performance gains often come from fixing data, not tuning architecture. Using a traffic sign detection model as the test scenario, the workflow covers training a baseline, auditing the Roboflow dataset with Tenyks to surface label errors and class imbalances, correcting
• 8 min read
Roboflow Computer Vision Models on Intel® 4th Generation Xeon Processors
SUMMARY
This benchmarking study measures Roboflow computer vision model inference on Intel 4th Gen Xeon Sapphire Rapids against AWS Lambda (Broadwell) and GCP C3 instances across speed, frames per hour, and cost per frame. With Intel optimization techniques applied to M7i instance types, inference time drops by over 60% compared
• 9 min read
Scaling up ViT Image Classification on Gaudi2 HPUs
Training large image transformers comes with heavy compute requirements - enter the Gaudi2 from Habana Labs, an Intel company.
• 5 min read
Using Computer Vision to Clean Up San Francisco Streets
SUMMARY
Rubbish, an environmental data company, used Roboflow to build LitterBug, a real-time computer vision tool that detects, maps, and highlights litter hotspots in urban areas, piloted in San Francisco's SOMA West neighborhood. The project took second place overall at the Cerebral Valley AI in Climate Tech
• 7 min read
Using Computer Vision for Online Exam Proctoring
SUMMARY
This tutorial builds an online exam proctoring system that uses a webcam and Roboflow Inference to detect when a student picks up a phone during a remote assessment. A pre-trained phone detection model from Roboflow Universe is deployed via the Inference API, and the live webcam feed is
• 7 min read
Floor Plan Analysis with Computer Vision
Learn how to analyze floor plans with computer vision.
• 10 min read
How to Use Computer Vision for Environment Monitoring
SUMMARY
Satellite and drone imagery analyzed by computer vision models can measure environmental change at a scale and frequency that manual scientific monitoring cannot match, turning pixel data into quantifiable ESG metrics like built-up area, deforestation extent, water coverage, and crop health. This guide walks through building a remote
• 7 min read
Build a Chess Game Recorder with Computer Vision
SUMMARY
Clio, built by the team at A1H1, is a portable chess recording device that uses computer vision instead of embedded sensors to digitize over-the-board games, bringing the cost well below the roughly $500 USD of sensor-equipped commercial sets. The system handles two distinct problems: detecting the
• 9 min read
Pose Estimation Algorithms: History and Evolution
SUMMARY
Pose estimation, the computer vision task of detecting key body joints in images and video, has progressed from hand-crafted geometric methods in the 1990s through graphical models in the 2000s to convolutional neural network approaches that now dominate the field. This overview traces that arc, covering traditional methods,
• 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.
• 7 min read
Using Apple Vision Pro and visionOS with Computer Vision
SUMMARY
Apple Vision Pro combines an M2 chip, an R1 real-time sensor processor, 12 cameras, and 23-million-pixel micro-OLED displays into a spatial computing platform that runs visionOS and opens new ground for computer vision applications. The post covers the hardware architecture, how eye tracking and gesture
• 8 min read
Not All mAPs are Equal and How to Test Model Robustness
Learn how to stress-test the robustness of computer vision models.
• 4 min read
Launch: Label Data with Segment Anything in Roboflow
Learn how to label data with Segment Anything Model (SAM) in Roboflow.
• 5 min read
Synthetic Data Generation with NVIDIA and Roboflow
Learn how to build computer vision models that leverage synthetic data using NVIDIA Omniverse and Roboflow.
• 2 min read
Roboflow Becomes AWS Machine Learning Competency Partner
Roboflow has achieved the AWS Applied AI Machine Learning Competency. Learn more about the competency and how we are partnering with AWS in this blog post.
• 4 min read
Roboflow Community Passes 200k Open Source Datasets
Roboflow’s mission is to democratize access to computer vision. We aim to actively help accelerate the world toward a future where everyone can build with computer vision. As a part of this mission, we invest in providing resources to the community in the form of free access to the
Stay Connected