• 10 min read
How to Use Your GPU in a Docker Container
Learn how to use your GPU in a Docker container and measure upir application's performance.
• 4 min read
How to Draw a Bounding Box with Python
In this post, we discuss how to use the Roboflow supervision library to draw and fill a bounding box in Python.
• 7 min read
What is ByteTrack? A Deep Dive.
SUMMARY
ByteTrack is a multi-object tracking algorithm that improves on earlier methods by using all detections, not just high-confidence ones, to maintain consistent object identities across video frames. Its two-stage data association module first matches high-confidence detections to existing tracklets, then reconciles lower-confidence ones using
• 13 min read
How to Map User Inputs in Video Games with Computer Vision
SUMMARY
This tutorial uses computer vision to track player inputs in the mobile game Brawl Stars by detecting the positions of on-screen joystick and attack buttons frame by frame. A Roboflow object detection model is trained on 8 in-game button classes, a Workflow handles inference, and the Roboflow
• 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
• 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.
• 5 min read
How to Use GPT-4 To Extract Handwritten Text from Images
SUMMARY
This tutorial builds a pipeline that combines a custom object detection model trained in Roboflow with GPT-4 Vision inside a Roboflow Workflow to extract and structure handwritten information from homework booklets. The object detection model localizes handwritten marks, and GPT-4 Vision reads time and name fields, with
• 19 min read
How to Monitor Productivity with Eye Tracking
SUMMARY
This tutorial builds a real-time productivity tracker that uses a custom object detection model to monitor eye position, pupil movement, face presence, and phone usage via webcam, then logs distraction events over time. The model is trained in Roboflow on roughly 125 labeled images and deployed locally, where
• 15 min read
Predicting the Optimal Connect 4 Move with Computer Vision
SUMMARY
This tutorial builds a computer vision application that reads a physical Connect 4 board and recommends the optimal next move using the minimax algorithm. An object detection model is trained on an annotated Connect 4 dataset from Roboflow Universe, deployed via Roboflow, and used to parse the board state
• 7 min read
Deploy and Monitor Computer Vision Models in Any Cloud with Roboflow and SkyPilot
Learn how to deploy computer vision models in any cloud using Roboflow and SkyPilot.
• 3 min read
How to Use OCR on Videos
In this guide, we cover the process of how to use OCR on videos together with computer vision to solve real-world problems.
• 9 min read
Build a Gesture-Based Light Controller with Computer Vision
Learn how to build a gesture-based light controler using computer vision
• 7 min read
First Impressions with the Claude 3 Opus Vision API
The Roboflow team ran several computer vision tests using the Claude 3 Opus Vision API. Read our results.
• 9 min read
Build an Image Search Engine with CLIP using Intel Gaudi2 HPUs
Learn how to use the Intel Gaudi2 chip to build an image search engine with CLIP embeddings.
• 6 min read
Launch: Train and Deploy YOLO-NAS Models on Roboflow
Learn how to train a YOLO-NAS model on Roboflow and host the model on your own hardware.
• 5 min read
Broadcast Computer Vision Predictions with Apache Kafka
Learn how to broadcast predictions from a computer vision model to an Apache Kafka receiver.
• 4 min read
How to Broadcast Computer Vision Predictions Over MQTT
Learn how to broadcast computer vision predictions over the MQTT protocol.
• 5 min read
Run Computer Vision Models on a RTSP Stream on a NVIDIA Jetson Orin Nano
SUMMARY
Running inference on RTSP streams at the edge requires hardware-aware tuning to avoid latency bottlenecks. This tutorial walks through flashing an NVIDIA Jetson Orin Nano with JetPack 5.1.1, configuring the correct ONNX Runtime GPU libraries, and deploying a computer vision model via Roboflow Inference Pipeline, which
• 4 min read
Use an Image Classification API to Classify Images
Learn how to use the CLIP-powered Roboflow image classification API to assign labels to images.
• 4 min read
How to Use a Product Recognition API
Learn how to use the Roboflow product recognition API to identify the presence or absence of products on a retail shelf.
• 4 min read
How to Use an Image Captioning API
In this guide, learn how to set up and use an image captioning API that you can use to programmatically generate image captions.
• 6 min read
How to Analyze a Folder of Videos from AWS S3
In this guide, learn how to analyze a folder of images with machine learning models using data stored in an AWS S3 bucket.
• 6 min read
Launch: Label, Train, Deploy Support for Keypoint Detection Models in Roboflow
Learn how to label data for and train keypoint detection models using Roboflow.
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