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Neural networks

Training, inference, serving, performance analysis, smart tools…

129 results found

Images

 2M+

Advanced Image labeling tool

complete solution for image annotation with advanced features

 1M+

Basic Image labeling tool

complete solution for image annotation

 9K+

Train YOLOv8 | v9 | v10 | v11

Dashboard to configure, start and monitor YOLOv8 | v9 | v10 | v11 training

 8K+

Apply NN to Images Project

NN Inference on images in project or dataset

 8K+

NN Image Labeling

Use deployed neural network in labeling interface

 5K+

Train YOLOv5

Dashboard to configure and monitor training

 4K+

Serve YOLOv8 | v9 | v10 | v11

Deploy YOLOv8 | v9 | v10 | v11 as REST API service

 3K+

RITM interactive segmentation SmartTool

State-of-the art object segmentation model in Labeling Interface

 2K+

Serve YOLOv5

Deploy model as REST API service

 2K+

Train MMSegmentation

Dashboard to configure, start and monitor training

 2K+

Train MMDetection 3.0

Training dashboard for mmdetection framework (v3.0.0 and above).

 2K+

Metric Learning Labeling Tool

Use metric learning models to classify images

 2K+

Serve Segment Anything Model

Deploy model as REST API service

 2K+

Serve Segment Anything 2.1

Deploy SAM 2 model as REST API service

 1K+

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

 1K+

Train MMDetection

Dashboard to configure, start and monitor training

 1K+

Train UNet

Dashboard to configure, start and monitor training

 1K+

Train Detectron2

Dashboard to configure, start and monitor training

 1K+

Serve MMSegmentation

Deploy model as REST API service

 1K+

Train MMClassification

Dashboard to configure, start and monitor training

 1K+

AI assisted classification

Use neural network in labeling interface to classify images and objects

 1K+

Create Trainset for SmartTool

Prepare training data for SmartTool

 1K+

Serve MMDetection

Deploy model as REST API service

 1K+

Serve OWL-ViT

Class-agnostic interactive detection for auto-prelabeling

 1K+

Train RITM

Dashboard to configure, start and monitor training

 1K+

ImgAug Studio

Visualize and build augmentation pipeline with ImgAug

 962

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a REST API service

 937

Serve Segment Anything in High Quality

Run HQ-SAM and then use in labeling tool

 900

Train YOLO v8 - 26

Train YOLO models on your data

 878

Apply Classifier to Images Project

Apply Classifier to Images Project

label project images or objects using NN

 857

Flying objects

Generate synthetic data: flying foregrounds on top of backgrounds

 826

Serve Detectron2

Deploy model as REST API service

 804

Evaluator for Model Benchmark

Evaluate the performance of the NN model and compare it with the results of other models

 781

Batched Smart Tool

Batched smart labeling tool for Images

 770

Apply OWL-ViT To Images Project

Class-angnostic object detection model

 683

Serve ViTPose

Deploy model as REST API service

 664

Object detection metrics

Interactive Confusion matrix, mAP, ROC and more

 631

Serve MMClassification

Deploy model as REST API service

 597

Predict App

This app applies neural networks to images. It supports various neural network tasks such as object detection, semantic segmentation, and instance segmentation.

 587

Apply Detection and Pose Estimation Models to Images Project

Label project images using detector and pose estimator

 544

Serve YOLO v8 - 26

Deploy YOLO models as a REST API service

 542

ilastik pixel classification

Image Pixel Classification using ilastik

 522

Serve Metric Learning

Google landmarks challenge models

 503

Serve Segment Anything 3

Deploy SAM 3 model as REST API service

 477

Embeddings Calculator

Calculate embeddings for images project

 474

AI Recommendations

Recommends matching items from the catalog

 464

Train RT-DETRv2

Train RT-DETRv2 model on your data

 437

Explore data with embeddings

Calculate and visualize embeddings

 404

Serve RT-DETRv2

Deploy RT-DETRv2 as a REST API service

 396

Instance Segmentation Metrics

Interactive evaluation of your instance segmentation model

 396

Train HRDA

Train HRDA model for segmentation in semi-supervised mode

 388

Serve UNet

Deploy model as REST API service

 376

Apply Detection and Classification Models to Images Project

Label project images using detector and classify predicted boxes

 365

Live Training - Object Detection

Only in Supervisely. The model trains in real time while you annotate and starts predicting after a few images.

 359

Anonymize Data

App to obscure data on images and videos

 334

Semantic Segmentation Metrics

Semantic Segmentation Metrics

interactive metrics analysis

 291

Apply Object Segmentor to Images Project

Label project images using object segmentor

 286

Prompt-based Image Filtering with CLIP

Filter and rank images by text prompts with CLIP models

 281

Train DEIMv2

Train DEIMv2 models on your data

 279

Image Classification Metrics

Evaluate your classification model

 261

Train MMClassification V2 (MMPretrain)

Dashboard to configure, start and monitor training

 244

Fine-tune Segment Anything 2.1

Dashboard for SAM 2.1 fine-tuning

 232

Export YOLOv5 weights

to TorchScript and ONNX formats

 221

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

 191

Train YOLOv5 2.0

Dashboard to configure, start and monitor YOLOv5 2.0 training

 136

Serve HRDA

Deploy HRDA model for inference

 125

MMOCR Inference

Text Detection and Recognition on images

 121

Train RT-DETR

Train RT-DETR model on your data

 101

Synthetic retail products

Generate synthetic data for classification of retail products on grocery shelves

 100

Serve DEIMv2

Deploy DEIMv2 models as a REST API service

 96

Apply Florence-2 + SAM 2 to Images Project

Text-Prompted Object Detection with Mask Segmentation

 96

Fine-tune Segment Anything 3

Dashboard for SAM 3 fine-tuning

 85

Serve MMClassification V2 (MMPretrain)

Deploy model as REST API service

 83

Serve YOLOv5 2.0

Deploy YOLOv5 2.0 as REST API service

 81

Serve Florence-2

Deploy Florence-2 as a REST API service

 60

Serve IS-Net

Deploy model as REST API service

 55

Stable diffusion UI

Run Stable Diffusion model with User Interface

 53

Compare Models

Compare Models

Compare the results of different model evaluations

 47

Export YOLOv8 weights

to TorchScript and ONNX formats

 46

Serve InSPyReNet

Deploy InSPyReNet for salient object segmentation as a REST API service

 45

Serve Matte Anything

Deploy Matte Anything as REST API service

 43

Train MaskDINO

Dashboard to configure, start and monitor MaskDINO training

 42

Serve RT-DETR

Deploy RT-DETR as a REST API service

 40

Train SparseInst

Dashboard to configure, start and monitor SparseInst training

 39

Serve Grounding DINO

Deploy Grounding DINO as a REST API service

 34

Object Classification Metrics

Evaluate your classification model in Detector + Classifier Pipeline

 33

Apply VIAME

Apply pretrained models for underwater species detection

 27

Serve MaskDINO

Deploy MaskDINO as a REST API service

 23

Serve Transfiner

Deploy Transfiner for instance segmentation as a REST API service

 20

Serve Kosmos-2

Deploy Kosmos-2 as a REST API service

 12

Serve SelfReformer

Deploy SelfReformer for salient object segmentation as a REST API service

 8

Serve SparseInst

Deploy SparseInst as a REST API service

 6

Serve YOLOE

Deploy YOLOE as a REST API service

 5

Serve Molmo

Deploy Molmo as a REST API service

 2

Serve STDC-Seg

Deploy STDC-Seg models as a REST API service

Videos

 1M+

Video labeling tool

complete solution for video annotation

 5K+

Train YOLOv5

Dashboard to configure and monitor training

 3K+

RITM interactive segmentation SmartTool

State-of-the art object segmentation model in Labeling Interface

 2K+

Serve YOLOv5

Deploy model as REST API service

 2K+

Train MMSegmentation

Dashboard to configure, start and monitor training

 2K+

Train MMDetection 3.0

Training dashboard for mmdetection framework (v3.0.0 and above).

 2K+

Serve Segment Anything Model

Deploy model as REST API service

 2K+

Serve Segment Anything 2.1

Deploy SAM 2 model as REST API service

 1K+

Apply NN to Videos Project

Predictions on every frame are combined with BoT-SORT/DeepSort into tracks automatically

 1K+

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

 1K+

Train MMDetection

Dashboard to configure, start and monitor training

 1K+

Train UNet

Dashboard to configure, start and monitor training

 1K+

Train Detectron2

Dashboard to configure, start and monitor training

 1K+

Serve MMSegmentation

Deploy model as REST API service

 1K+

Auto Track

Tracking settings for video annotation tool

 1K+

Serve MMDetection

Deploy model as REST API service

 1K+

Train RITM

Dashboard to configure, start and monitor training

 978

TransT object tracking (CVPR2021)

TransT object tracking (CVPR2021)

serve and use in videos annotator

 962

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a REST API service

 937

Serve Segment Anything in High Quality

Run HQ-SAM and then use in labeling tool

 931

MixFormer object tracking

CVPR2022 SOTA video object tracking

 857

XMem Video Object Segmentation

Semi-supervised, works with both long and short videos

 826

Serve Detectron2

Deploy model as REST API service

 664

Object detection metrics

Interactive Confusion matrix, mAP, ROC and more

 597

Predict App

This app applies neural networks to images. It supports various neural network tasks such as object detection, semantic segmentation, and instance segmentation.

 581

Apply NN to video frames

Apply NN models to video frames

 503

Serve Segment Anything 3

Deploy SAM 3 model as REST API service

 404

Serve RT-DETRv2

Deploy RT-DETRv2 as a REST API service

 396

Train HRDA

Train HRDA model for segmentation in semi-supervised mode

 388

Serve UNet

Deploy model as REST API service

 359

Anonymize Data

App to obscure data on images and videos

 280

Mouse action recognition

Mouse action recognition

Mouse action recognition with RT-DETRv2 and MVD

 244

Fine-tune Segment Anything 2.1

Dashboard for SAM 2.1 fine-tuning

 232

Export YOLOv5 weights

to TorchScript and ONNX formats

 221

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

 218

Batched Smart Tool for Videos

Batched smart labeling tool for Videos

 176

PIPs object tracking

Track points and polygons on videos

 174

CoTracker object tracking

Track points, polygons and skeletons (keypoints) on videos

 163

Objects Interpolation on video

Track polygons, rectangles and points using linear interpolation

 136

Serve HRDA

Deploy HRDA model for inference

 100

Serve DEIMv2

Deploy DEIMv2 models as a REST API service

 96

Fine-tune Segment Anything 3

Dashboard for SAM 3 fine-tuning

 94

MCITrack Object Tracking

Deploy MCITrack as REST API service

 82

TAP-Net object tracking

Track points and polygons on videos

 58

[beta] Serve OpenCV

[beta] Serve OpenCV

serve and use in videos annotator

 47

Export YOLOv8 weights

to TorchScript and ONNX formats

 46

Serve InSPyReNet

Deploy InSPyReNet for salient object segmentation as a REST API service

 44

Train Mouse Action Recognition

Train your own models on custom data for mouse action recognition with MVD

 29

Synthetic videos for tracking

Synthesize videos on annotated data

 23

Serve Transfiner

Deploy Transfiner for instance segmentation as a REST API service

 12

Serve SelfReformer

Deploy SelfReformer for salient object segmentation as a REST API service

 2

Serve STDC-Seg

Deploy STDC-Seg models as a REST API service