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
NN Inference on images in project or dataset
Dashboard to configure and monitor training
Dashboard to configure, start and monitor YOLO (v8, v9) training
Deploy model as REST API service
State-of-the art object segmentation model in Labeling Interface
Deploy YOLO (v8, v9) as REST API service
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
Use neural network in labeling interface to classify images and objects
Deploy ClickSEG models for interactive instance segmentation
Prepare training data for SmartTool
Dashboard to configure, start and monitor training
Deploy model as REST API service
Dashboard to configure, start and monitor training
Training dashboard for mmdetection framework (v3.0.0 and above).
Use metric learning models to classify images
Generate synthetic data: flying foregrounds on top of backgrounds
Deploy model as REST API service
Visualize and build augmentation pipeline with ImgAug
Deploy model as REST API service
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
Run HQ-SAM and then use in labeling tool
Deploy model as REST API service
Interactive Confusion matrix, mAP, ROC and more
Image Pixel Classification using ilastik
Deploy MMDetection 3.0 model as a REST API service
Class-angnostic object detection model
Deploy model as REST API service
Label project images using detector and pose estimator
Deploy model as REST API service
Label project images using detector and classify predicted boxes
Interactive evaluation of your instance segmentation model
Calculate and visualize embeddings
interactive metrics analysis
Evaluate your classification model
to TorchScript and ONNX formats
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Train HRDA model for segmentation in semi-supervised mode
Filter and rank images by text prompts with CLIP models
Google landmarks challenge models
Label project images using object segmentor
App to obscure data on images and videos
Calculate embeddings for images project
Recommends matching items from the catalog
Dashboard to configure, start and monitor YOLOv5 2.0 training
Generate synthetic data for classification of retail products on grocery shelves
Text Detection and Recognition on images
Deploy YOLOv5 2.0 as REST API service
Deploy HRDA model for inference
Deploy model as REST API service
Run Stable Diffusion model with User Interface
Deploy InSPyReNet for salient object segmentation as a REST API service
Evaluate your classification model in Detector + Classifier Pipeline
Apply pretrained models for underwater species detection
to TorchScript and ONNX formats
Deploy Matte Anything as REST API service
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
Deploy model as REST API service
Dashboard to configure, start and monitor training
Predictions on every frame are combined with BoT-SORT/DeepSort into tracks automatically
Dashboard to configure, start and monitor training
Deploy ClickSEG models for interactive instance segmentation
Deploy model as REST API service
Dashboard to configure, start and monitor training
Training dashboard for mmdetection framework (v3.0.0 and above).
serve and use in videos annotator
Deploy model as REST API service
Deploy model as REST API service
Dashboard to configure, start and monitor training
Semi-supervised, works with both long and short videos
Run HQ-SAM and then use in labeling tool
Interactive Confusion matrix, mAP, ROC and more
Deploy MMDetection 3.0 model as a REST API service
CVPR2022 SOTA video object tracking
Deploy model as REST API service
to TorchScript and ONNX formats
Batched smart labeling tool for Videos
Apply NN models to video frames
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Train HRDA model for segmentation in semi-supervised mode
Track points and polygons on videos
Track polygons, rectangles and points using linear interpolation
App to obscure data on images and videos
Track points and polygons on videos
Deploy HRDA model for inference
Track points, polygons and skeletons (keypoints) on videos
serve and use in videos annotator
Deploy InSPyReNet for salient object segmentation as a REST API service
Synthesize videos on annotated data
to TorchScript and ONNX formats
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
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)