Train YOLOv8 | v9 | v10 | v11
Dashboard to configure, start and monitor YOLOv8 | v9 | v10 | v11 training
Dashboard to configure, start and monitor YOLOv8 | v9 | v10 | v11 training
NN Inference on images in project or dataset
Use deployed neural network in labeling interface
Deploy YOLOv8 | v9 | v10 | v11 as REST API service
Training dashboard for mmdetection framework (v3.0.0 and above).
Dashboard to configure, start and monitor training
Dashboard to configure, start and monitor training
Deploy model as REST API service
Train YOLO models on your data
Visualize and build augmentation pipeline with ImgAug
Deploy MMDetection 3.0 model as a REST API service
Generate synthetic data: flying foregrounds on top of backgrounds
Evaluate the performance of the NN model and compare it with the results of other models
Deploy model as REST API service
This app applies neural networks to images. It supports various neural network tasks such as object detection, semantic segmentation, and instance segmentation.
Deploy YOLO models as a REST API service
Apply NN models to video frames
Calculate and visualize embeddings
Interactive evaluation of your instance segmentation model
Dashboard to configure, start and monitor SparseInst training
Compare the results of different model evaluations
Deploy Transfiner for instance segmentation as a REST API service
Deploy SparseInst as a REST API service
Only in Supervisely. The model trains in real time while you annotate and starts predicting after a few images.
Solve Instance Segmentation tasks