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
Use deployed neural network in labeling interface
Dashboard to configure and monitor training
NN Inference on images in project or dataset
Deploy model as REST API service
Dashboard to configure, start and monitor YOLOv8 training
State-of-the art object segmentation model in Labeling Interface
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 training
Deploy YOLOv8 as REST API service
Use neural network in labeling interface to classify images and objects
Prepare training data for SmartTool
Deploy ClickSEG models for interactive instance segmentation
Deploy model as REST API service
Dashboard to configure, start and monitor training
Use metric learning models to classify images
Generate synthetic data: flying foregrounds on top of backgrounds
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
Dashboard to configure, start and monitor training
Class-agnostic interactive detection for auto-prelabeling
label project images or objects using NN
Deploy model as REST API service
Image Pixel Classification using ilastik
Training dashboard for mmdetection framework (v3.0.0 and above).
Interactive Confusion matrix, mAP, ROC and more
Deploy model as REST API service
Class-angnostic object detection model
Run HQ-SAM and then use in labeling tool
Deploy model as REST API service
Label project images using detector and pose estimator
Deploy model as REST API service
Deploy MMDetection 3.0 model as a REST API service
Label project images using detector and classify predicted boxes
interactive metrics analysis
Interactive evaluation of your instance segmentation model
Calculate and visualize embeddings
SmartTool integration of Efficient Interactive Segmentation (EISeg)
to TorchScript and ONNX formats
Filter and rank images by text prompts with CLIP models
Train HRDA model for segmentation in semi-supervised mode
Evaluate your classification model
Google landmarks challenge models
Label project images using object segmentor
Recommends matching items from the catalog
Generate synthetic data for classification of retail products on grocery shelves
Calculate embeddings for images project
Text Detection and Recognition on images
Deploy HRDA model for inference
Dashboard to configure, start and monitor YOLOv5 2.0 training
App to obscure data on images and videos
Deploy model as REST API service
Run Stable Diffusion model with User Interface
Deploy YOLOv5 2.0 as REST API service
Deploy InSPyReNet for salient object segmentation as a REST API service
Apply pretrained models for underwater species detection
Evaluate your classification model in Detector + Classifier Pipeline
Deploy Transfiner for instance segmentation as a REST API service
Deploy SelfReformer for salient object segmentation as a REST API service
to TorchScript and ONNX formats
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
Deploy model as REST API service
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
Deploy ClickSEG models for interactive instance segmentation
serve and use in videos annotator
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 training
Deploy model as REST API service
Semi-supervised, works with both long and short videos
Training dashboard for mmdetection framework (v3.0.0 and above).
Interactive Confusion matrix, mAP, ROC and more
Run HQ-SAM and then use in labeling tool
Deploy model as REST API service
Deploy MMDetection 3.0 model as a REST API service
CVPR2022 SOTA video object tracking
Batched smart labeling tool for Videos
SmartTool integration of Efficient Interactive Segmentation (EISeg)
to TorchScript and ONNX formats
Train HRDA model for segmentation in semi-supervised mode
Track points and polygons on videos
Track polygons, rectangles and points using linear interpolation
Track points and polygons on videos
Deploy HRDA model for inference
App to obscure data on images and videos
Apply NN models to video frames
Deploy InSPyReNet for salient object segmentation as a REST API service
serve and use in videos annotator
Track points, polygons and skeletons (keypoints) on videos
Synthesize videos on annotated data
Deploy Transfiner for instance segmentation as a REST API service
Deploy SelfReformer for salient object segmentation as a REST API service
to TorchScript and ONNX formats
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
Deploy MBPTrack as REST API service
Train MMDetection3D for detection on Point Clouds data
Deploy MMDetection3D models to detect objects in Point Clouds
complete solution for medical DICOM annotation
State-of-the art object segmentation model in Labeling Interface
Deploy ClickSEG models for interactive instance segmentation
Dashboard to configure, start and monitor training
ITK algorithms for volume interpolation
SmartTool integration of Efficient Interactive Segmentation (EISeg)