• 5 min read
Detecting Complex and Amorphous Features of Marine Sponges
In this post, Andy Portalatin describes work done for his master's thesis toward detecting complex and amorphous features of marine sponges.
• 9 min read
How to Detect Brand Logos in Videos
Learn how to detect brand logos in Roboflow with a custom-trained object detection model that you can run on videos.
• 6 min read
Comparing Custom Models to Google Cloud Vision API
In this guide, we go over how to evaluate object detection models on Roboflow Universe versus Google Cloud Vision.
• 7 min read
How to Detect Objects with YOLOv8
Learn how to detect objects with YOLOv8 using pre-trained and custom-trained object detection models.
• 7 min read
Automatically Label Product SKUs with Autodistill
In this guide, we show how to automatically label product SKUs (with a manual review stage) using Autodistill.
• 3 min read
Roboflow Video Inference with Custom Annotators
Performing real-time video inference is crucial for many applications like autonomous vehicles, security systems, logistics, and more. However, setting up a robust video inference pipeline can be time consuming. You need a trained computer vision model, inference code, and visualization tools to annotate each frame. This is a lot of
• 5 min read
What is Object Recognition?
In this guide, we discuss what object recognition is, how it works, and how to start using object recognition to solve problems.
• 4 min read
What is Zero-Shot Object Detection?
Learn what zero-shot object detection is, applications for zero-shot object detection, and how to get started with Grounding DINO, a zero-shot model.
• 4 min read
DINO-GPT4-V: Use GPT-4V in a Two-Stage Detection Model
In this guide, we introduce DINO-GPT4V, a model that uses Grounding DINO to detect general objects and GPT-4V to refine labels.
• 5 min read
Experiments with GPT-4V for Object Detection
See our experiments that explore GPT-4V's object detection capabilities.
• 6 min read
Launch: Roboflow Logistics Pre-trained Object Detection Model
The Roboflow Logistics Model, trained on 99,238 images across 20 classes, offers a domain-specific advantage for logistics vision use cases.
• 9 min read
Enhancing Child Safety with Computer Vision
This article was contributed to the Roboflow blog by Abirami Vina.
Introduction
Child safety is a priority for parents and caregivers, an issue society takes seriously. While traditional safety measures are indispensable, technology is opening up new avenues for enhancing our ability to ensure child safety in various environments, especially
• 10 min read
Aerial Fire Detection with Drone Imagery and Computer Vision
In this article, Timothy Malche shows the steps he followed to build an aerial fire detection system with drone imagery and computer vision.
• 6 min read
Using Computer Vision to Improve Railway Safety
In this guide, we show how to use computer vision to identify hazardous situations on railways for use in building safety systems.
• 11 min read
Improving Vision Model Performance Using Roboflow & Tenyks
This is a guest post with Jose Gabriel Islas Montero (ML Engineer and Evangelist at Tenyks), and Dmitry Kazhdan (CTO & Co-Founder at Tenyks)
Introduction
When improving an object detection model, many engineers focus solely on tweaking the model architecture and hyperparameters. However, the root cause of mediocre performance often
• 4 min read
How to Use SAHI to Detect Small Objects
In this guide, we show how to use the SAHI implementation in the supervision Python package to detect small objects in images.
• 7 min read
Using Computer Vision for Online Exam Proctoring
This article was contributed to the Roboflow blog by Abirami Vina.
Introduction
Digital transformation is a common practice in various fields, including education. There has been a significant shift towards online learning and tests, offering advantages like increased access and flexibility for learners worldwide. However, this shift has also raised
• 6 min read
How to Use Computer Vision to Monitor Inventory
Real-time insights extracted from video streams can drastically improve efficiency for how industries operate. One high-impact application of this is in inventory management. Whether you’re a factory manager looking to improve inventory management or a store owner striving to prevent stockouts, real-time data can be a game-changer.
This tutorial
• 7 min read
What is Object Detection? The Ultimate Guide.
In this guide, we discuss what object detection is, how it works, how to label and augment data for object detection models, and more.
• 8 min read
How to Reduce Dataset Size Without Losing Accuracy
Learn how to reduce the size of your computer vision dataset without losing accuracy.
• 7 min read
What is Mask R-CNN? The Ultimate Guide.
In this guide, we discuss what Mask R-CNN is, how it works, where the model performs well, and what limitations exist with the model.
• 8 min read
How to Train RTMDet on a Custom Dataset
Learn how to train a RTMDet computer vision model on a custom dataset.
• 4 min read
Using Stable Diffusion and SAM to Modify Image Contents Zero Shot
Introduction
Recent breakthroughs in large language models (LLMs) and foundation computer vision models have unlocked new interfaces and methods for editing images or videos. You may have heard of inpainting, outpainting, generative fill, and text to image; this post will show you how to execute those new generative AI functions
• 6 min read
A LLaMa 2, Midjourney & Autodistill Computer Vision Pipeline
Combine the use of Midjourney, Autodistill, LLaMa 2 and Roboflow to create a object detection model without data collection or labeling.
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