Ā 6K+ 
NN Image Labeling
Use deployed neural network in labeling interface
neural network ā images
75 results found
Object detection
Ā 6K+ 
Train YOLOv8 | v9 | v10 | v11
Dashboard to configure, start and monitor YOLOv8 | v9 | v10 | v11 training
Ā 6K+ 
Apply NN to Images Project
NN Inference on images in project or dataset
Ā 5K+ 
Train YOLOv5
Dashboard to configure and monitor training
Ā 2K+ 
Serve YOLOv5
Deploy model as REST API service
Ā 2K+ 
Serve YOLOv8 | v9 | v10 | v11
Deploy YOLOv8 | v9 | v10 | v11 as REST API service
Ā 1K+ 
Train MMDetection
Dashboard to configure, start and monitor training
Ā 1K+ 
Train MMDetection 3.0
Training dashboard for mmdetection framework (v3.0.0 and above).
Ā 1K+ 
Serve MMDetection
Deploy model as REST API service
Ā 831 
ImgAug Studio
Visualize and build augmentation pipeline with ImgAug
Ā 802 
Flying objects
Generate synthetic data: flying foregrounds on top of backgrounds
Ā 773 
Serve OWL-ViT
Class-agnostic interactive detection for auto-prelabeling
Ā 697 
Serve MMDetection 3.0
Deploy MMDetection 3.0 model as a REST API service
Ā 548 
Apply OWL-ViT To Images Project
Class-angnostic object detection model
Ā 492 
Object detection metrics
Interactive Confusion matrix, mAP, ROC and more
Ā 427 
Evaluator for Model Benchmark
Evaluate the performance of the NN model and compare it with the results of other models
Ā 400 
Apply Detection and Pose Estimation Models to Images Project
Label project images using detector and pose estimator
Ā 341 
Explore data with embeddings
Calculate and visualize embeddings
Ā 312 
Apply Detection and Classification Models to Images Project
Label project images using detector and classify predicted boxes
Ā 254 
Anonymize Data
App to obscure data on images and videos
Ā 226 
Export YOLOv5 weights
to TorchScript and ONNX formats
Ā 187 
Train YOLOv5 2.0
Dashboard to configure, start and monitor YOLOv5 2.0 training
Ā 88 
Train RT-DETR
Train RT-DETR model on your data
Ā 83 
Serve YOLOv5 2.0
Deploy YOLOv5 2.0 as REST API service
Ā 36 
Export YOLOv8 weights
to TorchScript and ONNX formats
Ā 32 
Train RT-DETRv2
Train RT-DETRv2 model on your data
Ā 28 
Apply Florence-2 to Images Project
Text-Prompted Object Detection with Mask Segmentation
Ā 23 
Apply VIAME
Apply pretrained models for underwater species detection
Ā 19 
Serve RT-DETR
Deploy RT-DETR as a REST API service
Ā 14 
Serve Florence-2
Deploy Florence-2 as a REST API service
Ā 11 
Serve RT-DETRv2
Deploy RT-DETRv2 as a REST API service
Semantic segmentation
Ā 6K+
NN Image Labeling
Use deployed neural network in labeling interface
Ā 6K+
Apply NN to Images Project
NN Inference on images in project or dataset
Ā 1K+ 
Train MMSegmentation
Dashboard to configure, start and monitor training
Ā 1K+ 
Train UNet
Dashboard to configure, start and monitor training
Ā 1K+ 
Serve MMSegmentation
Deploy model as REST API service
Ā 831
ImgAug Studio
Visualize and build augmentation pipeline with ImgAug
Ā 802
Flying objects
Generate synthetic data: flying foregrounds on top of backgrounds
Ā 341
Explore data with embeddings
Calculate and visualize embeddings
Ā 335 
Train HRDA
Train HRDA model for segmentation in semi-supervised mode
Ā 319 
Serve UNet
Deploy model as REST API service
Ā 281 
Semantic Segmentation Metrics
Semantic Segmentation Metrics
interactive metrics analysis
Ā 105 
Serve HRDA
Deploy HRDA model for inference
Instance segmentation
Ā 6K+
NN Image Labeling
Use deployed neural network in labeling interface
Ā 6K+
Train YOLOv8 | v9 | v10 | v11
Dashboard to configure, start and monitor YOLOv8 | v9 | v10 | v11 training
Ā 6K+
Apply NN to Images Project
NN Inference on images in project or dataset
Ā 2K+
Serve YOLOv8 | v9 | v10 | v11
Deploy YOLOv8 | v9 | v10 | v11 as REST API service
Ā 1K+
Train MMDetection
Dashboard to configure, start and monitor training
Ā 1K+
Train MMDetection 3.0
Training dashboard for mmdetection framework (v3.0.0 and above).
Ā 1K+ 
Train Detectron2
Dashboard to configure, start and monitor training
Ā 1K+
Serve MMDetection
Deploy model as REST API service
Ā 831
ImgAug Studio
Visualize and build augmentation pipeline with ImgAug
Ā 808 
Serve Detectron2
Deploy model as REST API service
Ā 802
Flying objects
Generate synthetic data: flying foregrounds on top of backgrounds
Ā 697
Serve MMDetection 3.0
Deploy MMDetection 3.0 model as a REST API service
Ā 427
Evaluator for Model Benchmark
Evaluate the performance of the NN model and compare it with the results of other models
Ā 341
Explore data with embeddings
Calculate and visualize embeddings
Ā 318 
Instance Segmentation Metrics
Interactive evaluation of your instance segmentation model
Ā 15 
Serve Transfiner
Deploy Transfiner for instance segmentation as a REST API service
Classification
Ā 1K+ 
AI assisted classification
Use neural network in labeling interface to classify images and objects
Ā 1K+ 
Train MMClassification
Dashboard to configure, start and monitor training
Ā 831
ImgAug Studio
Visualize and build augmentation pipeline with ImgAug
Ā 677 
Apply Classifier to Images Project
Apply Classifier to Images Project
label project images or objects using NN
Ā 577 
Serve MMClassification
Deploy model as REST API service
Ā 312
Apply Detection and Classification Models to Images Project
Label project images using detector and classify predicted boxes
Ā 239 
Prompt-based Image Filtering with CLIP
Filter and rank images by text prompts with CLIP models
Ā 215 
Image Classification Metrics
Evaluate your classification model
Ā 97 
Synthetic retail products
Generate synthetic data for classification of retail products on grocery shelves
Ā 30 
Object Classification Metrics
Evaluate your classification model in Detector + Classifier Pipeline
Interactive segmentation
Ā 1M+ 
Basic Image labeling tool
complete solution for image annotation
Ā 948K+ 
Advanced Image labeling tool
complete solution for image annotation with advanced features
Ā 2K+ 
RITM interactive segmentation SmartTool
State-of-the art object segmentation model in Labeling Interface
Ā 1K+ 
Serve Segment Anything Model
Deploy model as REST API service
Ā 1K+ 
Serve ClickSEG
Deploy ClickSEG models for interactive instance segmentation
Ā 1K+ 
Create Trainset for SmartTool
Prepare training data for SmartTool
Ā 839 
Train RITM
Dashboard to configure, start and monitor training
Ā 776 
Serve Segment Anything in High Quality
Run HQ-SAM and then use in labeling tool
Ā 738 
Batched Smart Tool
Batched smart labeling tool for Images
Ā 500 
ilastik pixel classification
Image Pixel Classification using ilastik
Ā 472 
Serve Segment Anything 2.1
Deploy SAM 2 model as REST API service
Ā 209 
EiSeg interactive segmentation SmartTool
SmartTool integration of Efficient Interactive Segmentation (EISeg)
Ā 28
Apply Florence-2 to Images Project
Text-Prompted Object Detection with Mask Segmentation
Ā 24 
Serve Matte Anything
Deploy Matte Anything as REST API service
Ā 1 
Fine-tune Segment Anything 2.1
Dashboard for SAM 2.1 fine-tuning
Salient object segmentation
Ā 199 
Apply Object Segmentor to Images Project
Label project images using object segmentor
Ā 54 
Serve IS-Net
Deploy model as REST API service
Ā 43 
Serve InSPyReNet
Deploy InSPyReNet for salient object segmentation as a REST API service
Ā 8 
Serve SelfReformer
Deploy SelfReformer for salient object segmentation as a REST API service
Pose estimation (keypoints)
Ā 6K+
Train YOLOv8 | v9 | v10 | v11
Dashboard to configure, start and monitor YOLOv8 | v9 | v10 | v11 training
Ā 2K+
Serve YOLOv8 | v9 | v10 | v11
Deploy YOLOv8 | v9 | v10 | v11 as REST API service
Ā 486 
Serve ViTPose
Deploy model as REST API service
Ā 400
Apply Detection and Pose Estimation Models to Images Project
Label project images using detector and pose estimator
Metric learning
Ā 2K+ 
Metric Learning Labeling Tool
Use metric learning models to classify images
Ā 448 
Serve Metric Learning
Google landmarks challenge models
Ā 400 
Embeddings Calculator
Calculate embeddings for images project
Ā 367 
AI Recommendations
Recommends matching items from the catalog
Ā 341
Explore data with embeddings
Calculate and visualize embeddings
