Train YOLOv5
Dashboard to configure and monitor training
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
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
Interactive Confusion matrix, mAP, ROC and more
to TorchScript and ONNX formats
Label project images using detector and classify predicted boxes
Calculate and visualize embeddings
Deploy model as REST API service
Label project images using detector and pose estimator
Apply pretrained models for underwater species detection
Class-angnostic object detection model
Use deployed neural network in labeling interface
NN Inference on images in project or dataset
Dashboard to configure, start and monitor training
Generate synthetic data: flying foregrounds on top of backgrounds
Dashboard to configure, start and monitor training
Visualize and build augmentation pipeline with ImgAug
Deploy model as REST API service
Deploy model as REST API service
Calculate and visualize embeddings
interactive metrics analysis
Use deployed neural network in labeling interface
NN Inference on images in project or dataset
Dashboard to configure, start and monitor training
Deploy model as REST API service
Dashboard to configure, start and monitor training
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 evaluation of your instance segmentation model
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
Evaluate your classification model
Filter and rank images by text prompts with CLIP models
Generate synthetic data for classification of retail products on grocery shelves
complete solution for image annotation
complete solution for image annotation with advanced features
State of the art object segmentation model in Labeleing Interface
Prepare training data for SmartTool
Image Pixel Classification using ilastik
Batched smart labeling tool for Images
Deploy model as REST API service
Dashboard to configure, start and monitor training
Deploy ClickSEG models for interactive instance segmentation
SmartTool integration of Efficient Interactive Segmentation (EISeg)
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
Use metric learning models to classify images
Calculate and visualize embeddings
Recommends matching items from the catalog
Calculate embeddings for images project
Google landmarks challenge models