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, start and monitor YOLOv8 | v9 | v10 | v11 training
NN Inference on images in project or dataset
Dashboard to configure and monitor training
Deploy model as REST API service
Deploy YOLOv8 | v9 | v10 | v11 as REST API service
State-of-the art object segmentation model in Labeling Interface
Use metric learning models to classify images
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).
Deploy ClickSEG models for interactive instance segmentation
Dashboard to configure, start and monitor training
Use neural network in labeling interface to classify images and objects
Dashboard to configure, start and monitor training
Dashboard to configure, start and monitor training
Prepare training data for SmartTool
Deploy model as REST API service
Deploy model as REST API service
Dashboard to configure, start and monitor training
Visualize and build augmentation pipeline with ImgAug
Deploy model as REST API service
Generate synthetic data: flying foregrounds on top of backgrounds
Run HQ-SAM and then use in labeling tool
Class-agnostic interactive detection for auto-prelabeling
Batched smart labeling tool for Images
Deploy MMDetection 3.0 model as a REST API service
label project images or objects using NN
Deploy model as REST API service
Class-angnostic object detection model
Image Pixel Classification using ilastik
Interactive Confusion matrix, mAP, ROC and more
Deploy model as REST API service
Deploy SAM 2 model as REST API service
Google landmarks challenge models
Evaluate the performance of the NN model and compare it with the results of other models
Calculate embeddings for images project
Label project images using detector and pose estimator
Recommends matching items from the catalog
Calculate and visualize embeddings
Train HRDA model for segmentation in semi-supervised mode
Deploy model as REST API service
Interactive evaluation of your instance segmentation model
Label project images using detector and classify predicted boxes
interactive metrics analysis
App to obscure data on images and videos
Filter and rank images by text prompts with CLIP models
to TorchScript and ONNX formats
Evaluate your classification model
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Label project images using object segmentor
Dashboard to configure, start and monitor YOLOv5 2.0 training
Deploy HRDA model for inference
Generate synthetic data for classification of retail products on grocery shelves
Text Detection and Recognition on images
Train RT-DETR model on your data
Deploy YOLOv5 2.0 as REST API service
Deploy model as REST API service
Run Stable Diffusion model with User Interface
Deploy InSPyReNet for salient object segmentation as a REST API service
Train RT-DETRv2 model on your data
to TorchScript and ONNX formats
Evaluate your classification model in Detector + Classifier Pipeline
Text-Prompted Object Detection with Mask Segmentation
Deploy Matte Anything as REST API service
Apply pretrained models for underwater species detection
Deploy RT-DETR as a REST API service
Deploy Transfiner for instance segmentation as a REST API service
Deploy Florence-2 as a REST API service
Deploy RT-DETRv2 as a REST API service
Deploy SelfReformer for salient object segmentation as a REST API service
Dashboard for SAM 2.1 fine-tuning
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
Training dashboard for mmdetection framework (v3.0.0 and above).
Predictions on every frame are combined with BoT-SORT/DeepSort into tracks automatically
Deploy ClickSEG models for interactive instance segmentation
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
serve and use in videos annotator
Dashboard to configure, start and monitor training
Deploy model as REST API service
Run HQ-SAM and then use in labeling tool
Semi-supervised, works with both long and short videos
Deploy MMDetection 3.0 model as a REST API service
CVPR2022 SOTA video object tracking
Interactive Confusion matrix, mAP, ROC and more
Deploy SAM 2 model as REST API service
Train HRDA model for segmentation in semi-supervised mode
Deploy model as REST API service
Apply NN models to video frames
App to obscure data on images and videos
to TorchScript and ONNX formats
Batched smart labeling tool for Videos
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Track points and polygons on videos
Track polygons, rectangles and points using linear interpolation
Deploy HRDA model for inference
Track points and polygons on videos
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
to TorchScript and ONNX formats
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
Dashboard for SAM 2.1 fine-tuning
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)