• 8 min read
Identifying Objects in Multimedia Databases with Computer Vision
In this post, we discuss research from Prof. Luigi Laura and Mirko Cangiano showing how to identify objects in multimedia databases.
• 11 min read
Synthetic Data Generation with Stable Diffusion: A Guide
In this tutorial, we walk through how to generate images with Stable Diffusion for use in a computer vision model.
• 7 min read
Detecting and Reading QR Codes Using Computer Vision
In this article, we're going to walk through how to detect and read QR codes using Roboflow and Python.
• 4 min read
Roboflow Changelog: October 2022
Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from October 2022.
• 7 min read
Overfitting in Machine Learning and Computer Vision
SUMMARY
Overfitting happens when a model memorizes training data instead of learning general patterns, a problem visible when training accuracy is high but test accuracy drops sharply. Detecting it requires monitoring the gap between training and validation performance across epochs, and preventing it draws on techniques including data augmentation, regularization,
• 5 min read
Top 6 Agriculture Datasets for Computer Vision
Explore six agriculture datasets you can use in computer vision projects.
• 3 min read
Using AI to Count Calories from Photos with SnapCalorie
SUMMARY
SnapCalorie built a mobile app that photographs a meal and returns estimated calories, fat, carbs, and protein, a task that demands fast iteration on computer vision models as the food dataset grows. By adopting Roboflow Annotate for dataset management, labeling, annotation review, and model-assisted labeling, the team increased
• 7 min read
School Bus Detection Using YOLOv5 (Tutorial – Part 2)
Learn how to detect school buses using YOLOv5.
• 4 min read
Blurring Faces to Preserve Privacy with Computer Vision
SUMMARY
Automatically blurring faces and license plates before data enters a storage pipeline is a practical way to handle personally identifiable information in computer vision deployments, following the same approach used by Google Maps Street View. This tutorial covers collecting face and license plate datasets from Roboflow Universe, training a
• 4 min read
Launch: Semantic Segmentation for Labeling, Training, Deployment
SUMMARY
Semantic segmentation assigns a class label to every pixel in an image, making it useful for tasks where per-pixel precision matters: road and sidewalk mapping from aerial imagery, crack detection in infrastructure, defect identification in manufacturing, and medical image analysis. Roboflow now supports semantic segmentation end-to-end,
• 8 min read
What is an Autoencoder?
SUMMARY
An autoencoder is a neural network that compresses an input into a compact latent vector and then reconstructs it, with the latent representation, not the output, being the useful artifact. Six main variants exist for computer vision: undercomplete, denoising, sparse, contrastive, Variational (VAE), and Vector Quantised-Variational (VQ-VAE)
• 6 min read
What is Object Tracking in Computer Vision?
Learn about object tracking and how it is used in computer vision.
• 5 min read
Top 6 Manufacturing Datasets for Computer Vision
Explore six manufacturing datasets you can use for computer vision projects.
• 7 min read
Accelerate PyTorch Models via OpenVINO™ Integration with Torch-ORT
SUMMARY
OpenVINO integration with Torch-ORT lets PyTorch developers run accelerated inference on Intel CPUs, integrated GPUs, and VPUs without changing their existing code structure, requiring only two additional lines of Python. This post benchmarks a custom-trained YOLOv7 model on a dataset from Roboflow Universe and shows roughly a
• 8 min read
How to Use Computer Vision to Control OBS Studio
Learn how to use computer vision to control OBS Studio.
• 4 min read
Launch: Cloning Images from Open Source Datasets
SUMMARY
Roboflow Universe now lets you clone any of its 100+ million open source images directly into your own Roboflow project, with or without their existing annotations. This removes one of the biggest time sinks in computer vision development: sourcing labeled training data from scratch. You can filter by object
• 2 min read
Roboflow Joins AWS Global Startup Program and Becomes AWS ISV Accelerate Partner
SUMMARY
Roboflow has joined the AWS Global Startup Program and become an AWS ISV Accelerate Partner, deepening its integration with the cloud infrastructure that already powers Roboflow's model pipeline. The ISV Accelerate designation puts Roboflow alongside companies like Databricks and Auth0 in a co-sell program for enterprise
• 4 min read
Sharing Your Computer Vision Project on Roboflow Universe
In this guide, learn how to launch your computer vision project on Roboflow Universe.
• 3 min read
Launch: Use YouTube Videos for Training Data and Inference Testing
SUMMARY
Roboflow now accepts YouTube video URLs directly as an upload source, letting you sample frames from any of YouTube's 800+ million videos to build or expand a computer vision training dataset without downloading files manually. The same feature works in reverse: you can paste a YouTube URL
• 4 min read
Roboflow Changelog: September 2022
Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from September 2022.
• 4 min read
Launch: Smart Polygon Labeling
SUMMARY
Roboflow Annotate's Smart Polygon tool uses a machine learning model behind the scenes to generate a polygon label with a single click on an object, reducing what previously required many manual point placements to a near-instant operation. Precise polygon annotations are required for training instance segmentation
• 6 min read
Object Detection vs. Image Classification vs. Keypoint Detection
Learn what object detection, classification, and keypoint detection are, and when tech technique is useful.
• 9 min read
Supervised Learning vs. Unsupervised Learning: Explained
Learn what supervised and unsupervised learning are and how they compare.
• 12 min read
How to Measure Distance in Photos and Videos Using Computer Vision
Learn how to measure distance in photos and videos using computer vision.
Stay Connected