Model training in Supervisely Blog
Guide to Training Custom Interactive Instance Segmentation Model for Agricultural Images
We trained Instance Segmentation model for agricultural plant images and achieved remarkable results.
Grigoriy Mananian
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.
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.
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
Insights from training dozens of segmentation models on synthetic data, and methods that improve the quality of synthetic training 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: 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 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.