Roboflow Blog

13 Aug 2025 • 14 min read

What Is Neural Architecture Search (NAS)?

In this blog you will understand what is Neural Architecture Search (NAS), main components of NAS systems, How NAS works, what are the types of search spaces and strategies in NAS and why NAS is useful.

13 Aug 2025 • 8 min read

How to Import Label Studio Datasets to Roboflow

Learn how to take a dataset from Label Studio into Roboflow, train an RF-DETR model, and deploy it to the cloud, private servers, or edge devices. This step-by-step guide walks you through dataset conversion, model training, workflow testing, and real-world integration.

11 Aug 2025 • 16 min read

AI-Powered Invoice Analysis for Detecting Price Markups

Automate invoice reviews with AI-powered price checks. Learn how to build a Roboflow workflow that reads invoices, compares each line item to real-time market prices, and flags overcharges so you can cut costs and speed up procurement.

8 Aug 2025 • 5 min read

Reflections on GPT-5 Vision Capabilities

Roboflow's reflections on using GPT-5 for computer vision tasks.

8 Aug 2025 • 15 min read

Object Counting with Computer Vision

Understand what is object counting in computer vision, challenges in object counting, real-world use-cases of object counting and learn how to perform object counting in image and video.

8 Aug 2025 • 4 min read

How to use YOLOE for Zero-Shot Object Detection & Segmentation

In computer vision, few model families have made as big an impact as YOLO. Originally designed for fast and accurate object detection, the YOLO architecture has evolved rapidly, now supporting both complex detection and segmentation tasks. With the rise of YOLOE and other enhanced variants, it's now easier

7 Aug 2025 • 4 min read

GPT-5 for Vision: Results from 80+ Real-World Tests

On August 7th, 2025, OpenAI released GPT-5, the newest model in their GPT series. GPT-5 has advanced reasoning capabilities and, like many recent models by OpenAI, multimodal support. This means that you can both prompt GPT-5 with one or more images and ask for an answer, but also prompt the

7 Aug 2025 • 8 min read

How to Import Supervisely Datasets to Roboflow

Learn how to import datasets from Supervisely into Roboflow, train a YOLOv11 model, and deploy it to the cloud or edge. See how to convert annotations, fine-tune your model, and build production-ready vision workflows.

6 Aug 2025 • 3 min read

Reduce Jittery and Flickering Detections in Computer Vision

It's common in computer vision projects for bounding boxes to jump or flicker from frame to frame, especially when objects move quickly or lighting is challenging. This is because the model detections aren't perfect or consistent and, when visualized, the human eye sees lots of jittery

5 Aug 2025 • 19 min read

Automated Body Measurement with Computer Vision

Learn how to build a real-time body measurement app using computer vision. This guide walks through detecting 17 key body points, and calculating measurements like height, arm span, and shoulder width from a single image.

4 Aug 2025 • 13 min read

Real-Time PCB Defect Detection with Computer Vision

Learn how to build a real-time PCB defect detection system using Roboflow and Python. This step-by-step guide shows how to train a custom model, create an automated inspection workflow, and display results in a sleek, operator-friendly GUI.

4 Aug 2025 • 9 min read

Automate Image Background Blurring Using SAM 2

Learn how to build an automated background blurring workflow using Roboflow and SAM 2, Meta’s state-of-the-art segmentation model. This guide walks through every step.

4 Aug 2025 • 8 min read

How to Create a YOLOv11 Android App

Adding vision AI capabilities to your Android app is possible by deploying a custom YOLOv11 model on your device. Object detection models allow you to create lots of useful features like counting, measurement, reading text, and classification. In this guide, you'll learn how to create a custom YOLOv11

1 Aug 2025 • 4 min read

Launch: Verified Model Metrics

Selecting the right computer vision model for production starts with accurately measuring and comparing model performance. Evaluation metrics quantify a model’s capabilities, helping teams make informed decisions and choose models suited for real-world use. Among the many metrics available, Mean Average Precision (mAP) is a leading metric because it

30 Jul 2025 • 11 min read

Automated Image Tagging with Computer Vision

Learn how to build a Python application that uses computer vision models to analyze images for face visibility, framing, lighting, clutter, and an overall photo score, embedding these tags directly into the image file.

29 Jul 2025 • 18 min read

Model Deployment

In this article you will understand what is ML model deployment, how it works, best practices for model deployment, popular deployment tools and how to deploy a computer vision model on your local machine using Roboflow.

29 Jul 2025 • 8 min read

Real-Time Process Tracking with Computer Vision

With this project, we integrate real-time feedback and computer vision to develop a hand-washing steps-tracking system using a Python application and a Roboflow-trained model.

28 Jul 2025 • 13 min read

AI Data Labeling Guide

Even with advancements in multimodal foundation models, auto-segmentation techniques, and synthetic data generation, accurate AI data labeling remains a crucial component of production-ready AI systems.

28 Jul 2025 • 5 min read

Building a Drowning Detection Model with Computer Vision

Drowning can happen in seconds, even with lifeguards watching. Learn how to build a computer vision system to detect when someone stays underwater too long and trigger life-saving alerts.

25 Jul 2025 • 3 min read

Roboflow Launches 'Roboflow for Startups', Sponsors Vercel AI Accelerator

Roboflow for Startups Today, we’re announcing the Accelerator Partner Program within Roboflow for Startups, a new initiative designed to support early-stage startups using computer vision. If you’re part of a participating accelerator (like Y Combinator, Vercel AI Accelerator, Sequoia Arc, or others) you may be eligible for our

25 Jul 2025 • 9 min read

How to Build an iOS App with Visual AI Capabilities

In this guide, we’ll walk through using a custom object detection model tailored to identify glasses and show you how to seamlessly integrate it into an iOS app for instant live detection — all with minimal latency and maximum convenience. 0:00 /0:13 1× Millions of people rely on

24 Jul 2025 • 18 min read

What Is Depth Anything V2: Depth Estimation

Understand what depth estimation is. Learn how Depth Anything V2 works and how to use it in Roboflow Workflows.

24 Jul 2025 • 5 min read

Advancing State of the Art Object Detection (Again) with RF-DETR

Learn how to use and train the three new state-of-the-art RF-DETR object detection model sizes.

22 Jul 2025 • 7 min read

Detect NBA 3 Second Violations with AI

Introduction Ever shouted at the screen that a player was camping in the paint? You're not alone. Basketball is a fast paced and dynamic sport, with many rules that apply per player making it difficult for a referee to monitor everything. The 3-second rule in basketball, which prevents