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neural network ā†’ images

75 results found

Object detection

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 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