Labeling in Supervisely Blog
Audio Annotation in Supervisely: Label Sound Events on a Waveform and a Spectrogram
Label speech, machine noise and other sound events in Supervisely as time segments on a waveform and a spectrogram, with spectrogram settings fixed for the whole project.
Ira Soldatova
Scalable Polygon Annotation: Clean, Aligned Boundaries for Geospatial Data
Annotate buildings, parcels and land cover with polygons in Supervisely: start from AI masks, align boundaries between objects, cut holes and fix local errors.
Ultimate Guide On Multiview Image Annotation For Custom Training Datasets in Computer Vision
Learn how to use Supervisely's Multiview Image Labeling Toolbox to upload and annotate multiview images simultaneously.
Introducing Definitions Panel: a new way to assign classes and tags
How to reduce the number of steps and clicks to label an object or change its class.
Segment Anything 2 (SAM2) in Supervisely: The Fast and Accurate Object Segmentation Tool for Image and Video Labeling
How to automatically segment and track objects on images and videos using Segment Anything model 2 in Supervisely
The Complete Guide to Image Matting: Segment using Matte Anything Model and Brush Tool with Transparency
Learn how to annotate images for image matting task in Supervisely using predictions from Matte Anything model.
The Ultimate Image Annotation Tool: The Complete Guide to New Supervisely Labeling Toolbox
Learn how to use new Supervisely Image Annotation Tool designed for fast and accurate image annotation in Computer Vision.
Manual Image Segmentation in Computer Vision: A Comprehensive Overview of Annotation Techniques
An overview of the three main manual image segmentation methods in computer vision: overlaying, snapping to object boundaries and splitting masks.
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
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.
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
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
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.
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.
Polygon Annotation Best Practices for Semantic & Instance Segmentation
Learn how to use Polygon tool for efficient and precise object segmentation in Computer Vision.
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.
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.
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.
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.
Unlocking Text - OCR with Supervisely
Discover how to make the most of Optical Character Recognition (OCR) capabilities within Supervisely.
The Complete Guide to Animal Pose Estimation: Tools, Models, Tutorial
Discovering animal pose estimation with Supervisely. Learn how to annotate animals using keypoints and State-of-the-Art neural networks.
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.
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.
Automate manual labeling with custom interactive segmentation model for agricultural images
How to speed up image segmentation in agriculture with custom AI models
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
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