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Latest Posts
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
Dataset Ninja 🥷 — the best way to Search and Explore Computer Vision Datasets
High-quality training datasets with deep analysis and visualization tools.
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 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.
ViTPose — 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.
Introducing Supervisely Synthetic Crack Segmentation Dataset
We present our synthetic dataset for road surface crack segmentation that was generated automatically, available for research purposes.
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.
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.
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.
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.
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.
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
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.
Best DICOM & NIfTI annotation tools for Medical Imaging AI
Learn how to label CT, MRI, and PET medical images for your computer vision models.
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
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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