• 11 min read
How to Train RF-DETR on a Custom Dataset
Learn how to train an RF-DETR model on a custom dataset.
• 5 min read
How to Visually Compare Computer Vision Models
Learn how to compare two computer vision models visually using Roboflow Workflows.
• 3 min read
How to Deploy Computer Vision Models to a Raspberry Pi
Learn how to deploy computer vision models to a Raspberry Pi.
• 7 min read
Deploying Machine Learning Models with PyTorch, gRPC, and asyncio
SUMMARY
Serving a machine learning model with gRPC and asyncio gives you a faster, more scalable alternative to HTTP/1 REST endpoints: messages are binary Protobuf rather than JSON, type-safe client and server stubs are generated from a .proto file, and multiple images can be batched into a single
• 4 min read
Launch: Dedicated Deployments
SUMMARY
Roboflow Dedicated Deployments provision exclusive CPU or GPU servers pre-configured with Roboflow Inference, removing the need to manage hardware, drivers, TLS certificates, or scaling yourself. Two environment types are available: a short-lived development tier billed by the hour for testing and prototyping, and a persistent production tier
• 5 min read
Count Objects on a Conveyor Belt Using Computer Vision
SUMMARY
This tutorial builds an end-to-end system for counting bolts and nuts on a moving conveyor belt, covering every stage from data collection to local deployment. Video frames are annotated using Roboflow's auto-labeling with Grounding DINO, a custom detection model is trained in the cloud,
• 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.
• 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
• 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
• 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
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.
• 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,
• 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
• 5 min read
Launch: Deploy YOLOv10 Models with Roboflow
Learn how to deploy a YOLOv10 model on Roboflow.
• 9 min read
What is OpenVINO? A Guide for Beginners.
Learn what OpenVINO is and how you can use it to run inference on a computer vision model in Python.
• 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
Ultimate Guide to Using CLIP with Intel Gaudi2
Learn how to use CLIP on the Intel Gaudi2 chip. This guide discusses training and deploying a custom CLIP model on Gaudi2.
• 5 min read
What is YOLOv3? An Introductory Guide.
Learn what YOLOv3 is and the notable architectural eatures of this model.
• 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.
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