Latest Posts

Lisa Uspenyeva
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Manual Image Segmentation in Computer Vision: A Comprehensive Overview of Annotation Techniques

This blog post provides a comprehensive overview of three primary methods of manual image segmentation in Computer Vision: Overlaying, Snap to Object Boundaries and Split Mask.

Denis Drozdov
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Sidebar is back! New layout and more β€” February 2024 updates

Learn about the new sidebar that offers quick access to frequently used pages, recent apps and updated team and workspace context switchers.

Lisa Uspenyeva
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How To Segment Entire Object And Its Component Parts With Mask Splitting Method

Complete tutorial on labeling multiple parts of the object using efficient splitting annotation technique in Computer Vision

Lisa Uspenyeva
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How To Tag Multi-Camera Video Segments For Action Recognition In Computer Vision | Full Tutorial

Guide on video annotation, tagging and management tool tailored for multi-camera videos in Supervisely

Grigoriy Mananian
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Guide to Training Custom Interactive Instance Segmentation Model for Agricultural Images

We trained Instance Segmentation model for agricultural plant images and achieved remarkable results.

Lisa Uspenyeva
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Image and object tags for classification in Computer Vision: Complete Guide

Tutorial on how to use tags and attribute of different types in various industries with real examples.

Stan Soldatov
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How to Annotate Multispectral Images for Computer Vision Models

Learn how to use multi-view display in Supervisely Image Labeling Tool to efficiently annotate multispectral images

Lisa Uspenyeva
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How To Use Model Assisted Labeling To Boost Annotation Performance With Supervisely

A Deep Dive into the Beloved Supervisely Smart Labeling Tools for AI-Assisted Interactive Object Segmentation

Lisa Uspenyeva
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Brush Annotation Tool: your must-have for Object Segmentation

Learn how to annotate objects of any complexity by creating freeform outlines using the Brush annotation tool.

Lisa Uspenyeva
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Mask Pen Annotation Tool for Object Segmentation in Supervisely

Learn how to use Mask Pen annotation tool as a combination of polygonal contours and free-form drawing contours.

Max Eliseev
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How to Train a Model with Only 62 Labeled Images using Semi-Supervised Learning

This experiment reveals the potential of semi-supervised learning, proving the opportunity to train a model using only a small fraction of labeled data.

Lisa Uspenyeva
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Polygon Annotation Best Practices for Semantic & Instance Segmentation

Learn how to use Polygon tool for efficient and precise object segmentation in Computer Vision.

Lisa Uspenyeva
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Best Bounding Box Image Annotation Tools For Object Detection - Complete Overview

How to use modern bounding box image labeling toolbox for Computer Vision in Supervisely.

Max Teselkin
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How To Use 3D Object Interpolation To Speed Up Point Cloud Annotation for LiDAR & Radar

The complete guide on 3D bounding box interpolation in point cloud episodes in Supervisely.

Sergey Sych
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What is Sliding Window in Object Detection: Complete Overview of Methods & Tools

How to use sliding window method with object detection models to improve accuracy in Computer Vision.

Max Teselkin
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MBPTrack Tutorial - SOTA 3D Point Cloud Object Tracking in 2023 for LiDAR & Radar

The complete guide on 3D single object tracking on custom point cloud episodes in Supervisely LiDAR annotation toolbox.

Max Eliseev
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Unleash The Power of Domain Adaptation - How to Train Perfect Segmentation Model on Synthetic Data with HRDA

Tutorial on training accurate and robust Semantic Segmentation model without manual annotation using only synthetic training dataset

Lisa Uspenyeva
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Labeling Queues: Streamline Your Labeling Pipeline

Discover the optimal approach for annotating and structuring large-scale data labeling tasks with using Labeling Queues and following our step-by-step guide.

Max Eliseev
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Lessons Learned From Training a Segmentation Model On Synthetic Data

We are pleased to share our experience gained from training dozens of models using synthetic data. In this blog post we will provide insights into the training process and present methods to enhance the quality of synthetic data.

Lisa Uspenyeva
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Mastering Labeling Jobs: Your Ultimate Guide

Discover the power of collaborative annotation through labeling jobs. Learn how to harness teamwork for efficient and accurate data annotation.

Max Kolomeychenko
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Dataset Ninja πŸ₯· β€” the best way to Search and Explore Computer Vision Datasets

High-quality training datasets with deep analysis and visualization tools.

Lisa Uspenyeva
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Human Pose Estimation: all you need to know

Get ready to be impressed by how quickly and accurately Supervisely can estimate human poses using advanced techniques.

Valeria Vorozhko
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Unlocking Text - OCR with Supervisely

Discover how to make the most of Optical Character Recognition (OCR) capabilities within Supervisely.

Lisa Uspenyeva
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The Complete Guide to Animal Pose Estimation in 2023: Tools, Models, Tutorial

Discovering animal pose estimation with Supervisely. Learn how to annotate animals using keypoints and State-of-the-Art neural networks.

Max Kolomeychenko
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ViTPose β€” How to use the best Pose Estimation Model on Humans & Animals

The complete guide on automatic body pose estimation of animals and humans on your images in Supervisely.

Max Eliseev
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Introducing Supervisely Synthetic Crack Segmentation Dataset

We present our synthetic dataset for road surface crack segmentation that was generated automatically, available for research purposes.

Valeria Vorozhko
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How to Train Smart Tool for Precise Cracks Segmentation in Industrial Inspection

Step-by-step guide for industrial inspection cracks segmentation on images using custom interactive AI model.

Max Kolomeychenko
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How to run OpenAI CLIP with UI for Image Retrieval and Filtering your dataset

How to use text prompts and AI to search and query relevant images in your training datasets.

Max Kolomeychenko
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Segment Anything in High Quality (HQ-SAM): a new Foundation Model for Image Segmentation (Tutorial)

How to use new version of Segment Anything + detailed comparison with original SAM model.

Max Kolomeychenko
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Complete Guide to Object Tracking: Best AI Models, Tools and Methods in 2023

In this ultimate guide and tutorial you will learn what is object tracking and learn how to track objects on your videos with the best models and tools.

Max Kolomeychenko
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XMem + Segment Anything: Video Object Segmentation SOTA | Tutorial

How to segment and track objects on videos automatically with Segment Anything and XMem to build custom training datasets.

Valeria Vorozhko
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Automate manual labeling with custom interactive segmentation model for agricultural images

How to speed up image segmentation in agriculture with custom AI models

Max Kolomeychenko
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How to auto-label images with OWL-ViT - SOTA Google's foundation object detector

Automatically detect anything with only one example using OWL-ViT - one-shot object detection SOTA

Max Kolomeychenko
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No-code tutorial: train and predict YOLOv8 on custom data

The easiest way to get custom YOLOv8 model trained on your own dataset and deploy it with zero coding in the browser.

Sergey Sych
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Best DICOM & NIfTI annotation tools for Medical Imaging AI

Learn how to label CT, MRI, and PET medical images for your computer vision models.

Lisa Uspenyeva
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Top 5 AI tools for fast surgical video annotation in 2023

How to use modern AI object tracking and segmentation tools to get medical training data 10x faster

Max Kolomeychenko
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How to use labeling consensus to get accurate training data

Consensus with detailed reports allows you to monitor and prevent systematic inconsistencies during the labeling process

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