Train YOLOv5
Dashboard to configure and monitor training
Dashboard to configure and monitor training
Use deployed neural network in labeling interface
NN Inference on images in project or dataset
Deploy model as REST API service
Dashboard to configure, start and monitor training
Deploy model as REST API service
Dashboard to configure, start and monitor YOLOv8 training
Generate synthetic data: flying foregrounds on top of backgrounds
Visualize and build augmentation pipeline with ImgAug
Interactive Confusion matrix, mAP, ROC and more
Deploy YOLOv8 as REST API service
Class-agnostic interactive detection for auto-prelabeling
Training dashboard for mmdetection framework (v3.0.0 and above).
Label project images using detector and classify predicted boxes
Class-angnostic object detection model
to TorchScript and ONNX formats
Calculate and visualize embeddings
Deploy MMDetection 3.0 model as a REST API service
Label project images using detector and pose estimator
Apply pretrained models for underwater species detection
Use deployed neural network in labeling interface
NN Inference on images in project or dataset
Dashboard to configure, start and monitor training
Generate synthetic data: flying foregrounds on top of backgrounds
Dashboard to configure, start and monitor training
Visualize and build augmentation pipeline with ImgAug
Deploy model as REST API service
Deploy model as REST API service
interactive metrics analysis
Calculate and visualize embeddings
Train HRDA model for segmentation in semi-supervised mode
Deploy HRDA model for inference
Use deployed neural network in labeling interface
NN Inference on images in project or dataset
Dashboard to configure, start and monitor training
Deploy model as REST API service
Dashboard to configure, start and monitor training
Dashboard to configure, start and monitor YOLOv8 training
Generate synthetic data: flying foregrounds on top of backgrounds
Deploy model as REST API service
Visualize and build augmentation pipeline with ImgAug
Deploy YOLOv8 as REST API service
Training dashboard for mmdetection framework (v3.0.0 and above).
Calculate and visualize embeddings
Deploy MMDetection 3.0 model as a REST API service
Interactive evaluation of your instance segmentation model
Deploy Transfiner for instance segmentation as a REST API service
Use neural network in labeling interface to classify images and objects
Dashboard to configure, start and monitor training
Visualize and build augmentation pipeline with ImgAug
label project images or objects using NN
Deploy model as REST API service
Label project images using detector and classify predicted boxes
Filter and rank images by text prompts with CLIP models
Evaluate your classification model
Generate synthetic data for classification of retail products on grocery shelves
complete solution for image annotation
complete solution for image annotation with advanced features
State-of-the art object segmentation model in Labeling Interface
Prepare training data for SmartTool
Deploy model as REST API service
Batched smart labeling tool for Images
Image Pixel Classification using ilastik
Deploy ClickSEG models for interactive instance segmentation
Dashboard to configure, start and monitor training
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Run HQ-SAM and then use in labeling tool
Label project images using object segmentor
Deploy model as REST API service
Deploy InSPyReNet for salient object segmentation as a REST API service
Deploy SelfReformer for salient object segmentation as a REST API service
Use metric learning models to classify images
Calculate and visualize embeddings
Recommends matching items from the catalog
Google landmarks challenge models
Calculate embeddings for images project