• 8 min read
Measure Fish Size using Computer Vision
Learn how to use computer vision to measure the size of fish.
• 6 min read
How to Create a Workout Pose Correction Tool
SUMMARY
This tutorial builds a real-time workout form checker using a custom Roboflow keypoint detection model trained to locate the left and right sides of a weight, combined with MediaPipe body tracking and deployed through Roboflow Workflows. The pipeline processes each video frame, extracts keypoints from both sources, and
• 8 min read
How to Build a Reading Assistant with AI
SUMMARY
This tutorial builds an interactive reading assistant that detects a finger pointing at a word on a page using an object detection model, reads the word using OCR, and then calls GPT-4 to pronounce it aloud, all wired together inside a Roboflow Workflow and run as a live
• 6 min read
How to Deploy Hugging Face Models with Roboflow
SUMMARY
Computer vision model weights hosted on Hugging Face, including YOLOv8 variants for detection, segmentation, classification, and keypoint tasks, can be downloaded with Git-LFS and uploaded directly to Roboflow for edge or private-cloud deployment via Roboflow Inference. This guide walks through each step, from cloning model weights to
• 5 min read
Automatic Stop Sign Violation Detection
SUMMARY
This community-contributed project determines whether a vehicle correctly stops at a stop sign by chaining RF-DETR vehicle detection, a fine-tuned front-wheel detection model, and Roboflow PolygonZone geometry checks across a stop zone and an out zone. Vehicles that fail to stop before the white line
• 8 min read
What is Optical Character Verification? A Comprehensive Guide
SUMMARY
Optical Character Verification (OCV) reads printed text on product packaging using OCR and then compares the result against known reference data to catch errors in expiration dates, batch numbers, barcodes, and lot codes before products leave the line. In consumer packaged goods manufacturing, OCV automates a check that would
• 8 min read
Camera Calibration in Sports with Keypoints
SUMMARY
Accurate player tracking in sports footage requires mapping pixel coordinates from a moving camera to real-world field positions, and this tutorial covers how to do that by training a YOLOv8 keypoint detection model to recognize characteristic landmarks on a soccer pitch, then using those detections to compute a
• 8 min read
How to Extract Text From Images
SUMMARY
Optical Character Recognition (OCR) converts static image content in JPG, PNG, or PDF formats into machine-readable text, enabling automation of data entry, accessibility improvements, translation workflows, and document analysis. Roboflow's OCR API is one practical tool for this, offering a programmatic way to extract text at
• 7 min read
Ball Tracking in Sports with Computer Vision
Ball tracking is crucial for AI systems to analyze sports effectively, but it's challenging due to factors like the ball's small size, high velocity, complex backgrounds, similar-looking objects, and varying lighting. This tutorial will teach you how to overcome these challenges.
• 3 min read
How to Import Hugging Face Datasets to Roboflow
Learn how to import a Hugging Face dataset into Roboflow for labeling, training, and deployment.
• 7 min read
How to Use SAM 2 for Video Segmentation
SUMMARY
Segment Anything Model 2 (SAM 2) is a unified image and video segmentation model from Meta that achieves 3 times fewer required interactions than prior approaches and runs 6 times faster than the original SAM. This walkthrough covers how to load and configure SAM 2 (available in four sizes
• 8 min read
What is Segment Anything 2 (SAM 2)?
Learn about Meta AI's new Segment Anything 2 model and how you can use it for image and grounded image segmentation.
• 5 min read
Evaluating 2024 Euro Cup and COPA America Cup Jersey Color Accessibility
Read how we built a system to evaluate the color contrast of football jerseys used in the 2024 Euro Cup.
• 12 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.
• 8 min read
People Counting Using Computer Vision
SUMMARY
Computer vision-based people counting tracks entry and exit flows in real time, giving organizations accurate occupancy data that manual headcounts cannot match at scale. This tutorial uses a people detection model from Roboflow to build a working counter that draws bounding boxes, overlays a running tally on each
• 9 min read
Top 7 Open Source Object Tracking Tools [2026]
SUMMARY
Object tracking in computer vision assigns persistent identities to detected objects across video frames, enabling applications like assembly line monitoring, warehouse inventory tracking, and pedestrian flow analysis. This post surveys seven open-source tracking algorithms, ByteTrack, Norfair, MMTracking, DeepSORT, FairMOT, BoT-SORT, and StrongSORT, covering how each handles association,
• 8 min read
What is the Open Images Dataset? A Deep Dive.
SUMMARY
Open Images V7, released by Google in 2022, contains over nine million annotated images spanning nearly 20,000 categories and supports six annotation types: image-level labels, bounding boxes, segmentation masks, visual relationships, localized narratives, and point-level labels. That breadth makes it one of the few public datasets
• 11 min read
How to Train RT-DETR on a Custom Dataset with Transformers
SUMMARY
RT-DETR (Real-Time DEtection TRansformer), developed by Peking University and Baidu, is a transformer-based object detection model that targets competitive speed and accuracy compared to YOLO-family models. This tutorial covers fine-tuning RT-DETR on a custom dataset sourced from Roboflow Universe, using the HuggingFace Transformers
• 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.
• 7 min read
The Guide to AI OCR
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.
• 5 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
SUMMARY
Apple's 4M (Massively Multimodal Masked Modeling) framework trains a single unified Transformer encoder-decoder across text, images, 3D geometry, and semantic data by mapping all modalities to discrete tokens and applying a masked modeling objective on a random subset of them. Unlike specialized vision models constrained to
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