NN Image Labeling
Use deployed neural network in labeling interface
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 YOLOv8 | v9 | v10 training
Deploy model as REST API service
Deploy YOLOv8 | v9 | v10 as REST API service
Dashboard to configure, start and monitor training
Training dashboard for mmdetection framework (v3.0.0 and above).
Deploy model as REST API service
Generate synthetic data: flying foregrounds on top of backgrounds
Visualize and build augmentation pipeline with ImgAug
Class-agnostic interactive detection for auto-prelabeling
Deploy MMDetection 3.0 model as a REST API service
Class-angnostic object detection model
Interactive Confusion matrix, mAP, ROC and more
Label project images using detector and pose estimator
Label project images using detector and classify predicted boxes
Calculate and visualize embeddings
to TorchScript and ONNX formats
App to obscure data on images and videos
Dashboard to configure, start and monitor YOLOv5 2.0 training
Evaluate the performance of the NN model
Deploy YOLOv5 2.0 as REST API service
Apply pretrained models for underwater species detection
to TorchScript and ONNX formats
Use deployed neural network in labeling interface
NN Inference on images in project or dataset
Dashboard to configure, start and monitor training
Dashboard to configure, start and monitor training
Deploy model as REST API service
Generate synthetic data: flying foregrounds on top of backgrounds
Visualize and build augmentation pipeline with ImgAug
Deploy model as REST API service
Calculate and visualize embeddings
interactive metrics analysis
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 YOLOv8 | v9 | v10 training
Deploy YOLOv8 | v9 | v10 as REST API service
Dashboard to configure, start and monitor training
Dashboard to configure, start and monitor training
Training dashboard for mmdetection framework (v3.0.0 and above).
Deploy model as REST API service
Generate synthetic data: flying foregrounds on top of backgrounds
Visualize and build augmentation pipeline with ImgAug
Deploy model as REST API service
Deploy MMDetection 3.0 model as a REST API service
Interactive evaluation of your instance segmentation model
Calculate and visualize embeddings
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
Evaluate your classification model in Detector + Classifier Pipeline
complete solution for image annotation
complete solution for image annotation with advanced features
State-of-the art object segmentation model in Labeling Interface
Deploy model as REST API service
Deploy ClickSEG models for interactive instance segmentation
Prepare training data for SmartTool
Dashboard to configure, start and monitor training
Batched smart labeling tool for Images
Run HQ-SAM and then use in labeling tool
Image Pixel Classification using ilastik
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Deploy SAM 2 model as REST API service
Deploy Matte Anything as REST API service
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
Dashboard to configure, start and monitor YOLOv8 | v9 | v10 training
Deploy YOLOv8 | v9 | v10 as REST API service
Deploy model as REST API service
Label project images using detector and pose estimator
Use metric learning models to classify images
Calculate and visualize embeddings
Google landmarks challenge models
Calculate embeddings for images project
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