Basic Image labeling tool
complete solution for image annotation
Training, inference, serving, performance analysis, smart tools…
complete solution for image annotation
complete solution for image annotation with advanced features
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
State-of-the art object segmentation model in Labeling Interface
Dashboard to configure, start and monitor training
Prepare training data for SmartTool
Dashboard to configure, start and monitor training
Deploy model as REST API service
Use neural network in labeling interface to classify images and objects
Dashboard to configure, start and monitor training
Use metric learning models to classify images
Dashboard to configure, start and monitor YOLOv8 training
Generate synthetic data: flying foregrounds on top of backgrounds
Dashboard to configure, start and monitor training
Deploy model as REST API service
Dashboard to configure, start and monitor training
Deploy model as REST API service
Visualize and build augmentation pipeline with ImgAug
Batched smart labeling tool for Images
Image Pixel Classification using ilastik
Deploy model as REST API service
label project images or objects using NN
Interactive Confusion matrix, mAP, ROC and more
Dashboard to configure, start and monitor training
Deploy ClickSEG models for interactive instance segmentation
Deploy YOLOv8 as REST API service
Class-agnostic interactive detection for auto-prelabeling
Deploy model as REST API service
Training dashboard for mmdetection framework (v3.0.0 and above).
Deploy model as REST API service
Label project images using detector and classify predicted boxes
to TorchScript and ONNX formats
Class-angnostic object detection model
Calculate and visualize embeddings
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Deploy model as REST API service
Filter and rank images by text prompts with CLIP models
interactive metrics analysis
Recommends matching items from the catalog
Label project images using detector and pose estimator
Deploy MMDetection 3.0 model as a REST API service
Run HQ-SAM and then use in labeling tool
Google landmarks challenge models
Calculate embeddings for images project
Evaluate your classification model
Interactive evaluation of your instance segmentation model
Label project images using object segmentor
Generate synthetic data for classification of retail products on grocery shelves
Text Detection and Recognition on images
Deploy model as REST API service
Deploy InSPyReNet for salient object segmentation as a REST API service
Apply pretrained models for underwater species detection
Run Stable Diffusion model with User Interface
Train HRDA model for segmentation in semi-supervised mode
Deploy HRDA model for inference
Deploy Transfiner for instance segmentation as a REST API service
Deploy SelfReformer for salient object segmentation as a REST API service
complete solution for video annotation
Dashboard to configure and monitor training
Deploy model as REST API service
State-of-the art object segmentation model in Labeling Interface
Dashboard to configure, start and monitor training
Dashboard to configure, start and monitor training
Predictions on every frame are combined with DeepSort into tracks automatically
serve and use in videos annotator
Deploy model as REST API service
Dashboard to configure, start and monitor training
Dashboard to configure, start and monitor training
Deploy model as REST API service
Deploy model as REST API service
Deploy model as REST API service
Interactive Confusion matrix, mAP, ROC and more
Dashboard to configure, start and monitor training
Deploy ClickSEG models for interactive instance segmentation
Training dashboard for mmdetection framework (v3.0.0 and above).
Deploy model as REST API service
Semi-supervised, works with both long and short videos
to TorchScript and ONNX formats
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Track points and polygons on videos
Batched smart labeling tool for Videos
CVPR2022 SOTA video object tracking
Deploy MMDetection 3.0 model as a REST API service
Run HQ-SAM and then use in labeling tool
Track polygons, rectangles and points using linear interpolation
Track points and polygons on videos
Deploy InSPyReNet for salient object segmentation as a REST API service
serve and use in videos annotator
Synthesize videos on annotated data
Train HRDA model for segmentation in semi-supervised mode
Deploy HRDA model for inference
Deploy Transfiner for instance segmentation as a REST API service
Deploy SelfReformer for salient object segmentation as a REST API service
complete solution for LiDAR annotation with photo context
complete solution for LiDAR episodes annotation with photo context
Run 3D Detection and tracking algorithm on pointclouds or pointcloud episodes project
Deploy model as REST API service
Dashboard to configure, start and monitor training
Deploy interpolation method as REST API service
complete solution for medical DICOM annotation
State-of-the art object segmentation model in Labeling Interface
Dashboard to configure, start and monitor training
Deploy ClickSEG models for interactive instance segmentation
ITK algorithms for volume interpolation
SmartTool integration of Efficient Interactive Segmentation (EISeg)