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Neural Networks in Supervisely Blog
Learn how to solve real computer vision tasks from Supervisely experts — top data scientists, web engineers and python developers.
Neural Networks Posts
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
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.
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.
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
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.
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.
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.
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.
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.
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