Written by

Arty Ariuntuya

Arty Ariuntuya

ML Engineer @Roboflow. Debugging reality, one pixel at a time.

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

Introducing the Roboflow Logistics Pre-trained Object Detection Model

Starting a machine learning model from zero is computationally expensive and time-consuming. Pre-trained models solve this by offering a jump-start: they come with learned features from extensive training on large

Launch: QR Code Model Deployment

Roboflow’s newest feature lets you easily enable anyone to access your models by scanning a QR code to instantly use a model in a mobile browser. You can now

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

How to Reduce Dataset Size Without Losing Accuracy

We're often told that data is the backbone that drives the development of powerful and robust models.  And that's certainly true – data is the raw material that we feed into

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,

Improve Accuracy: Polygon Annotations for Object Detection

In this blog post, we will explore how you can improve your object detection model performance by converting your bounding box annotations to polygon annotations. We will also discuss the

Detecting Objects with DETIC vs Custom Training

Learn how to evaluate large foundation models and how custom model training can improve performance.

How to Use FastSAM

In this guide, we show how to install and use FastSAM, and demonstrate how to visually compare SAM to FastSAM on your own data.

How to Train DETR on a Custom Dataset

DETR stands out from traditional object detection models due to its unique architecture and approach. Unlike other models that rely on anchor boxes or region proposal networks, DETR formulates object

Auto-Label Classification Datasets Using CLIP

Labeling large datasets can be a time-consuming and labor-intensive task. However, with advancements in deep learning and natural language processing, it is now possible to automate the labeling process. In

How to Use Ultralytics YOLOv8 with SAM

In this guide, we show how to use YOLOv8 and SAM to create pixel-level segmentation masks for objects identified by a YOLOv8 model.

How to Train YOLOv8 Instance Segmentation on a Custom Dataset

Whether you're working on object detection, instance segmentation, or classification tasks, having a reliable and easy-to-use computer vision model is essential. In this blog post, we'll explore how you can