Imagesegmentationdataset

2024年2月9日—Oneofthemostwidelyusedcomputervisiondatasetsforpre-trainingdeeplearningmodelsisImageNet.Withmillionsoflabeledimagesspanning ...,COCOisalarge-scaleobjectdetection,segmentation,andcaptioningdataset....5captionsperimage;250,000peoplewithkeypoints.Collaborators.Tsung-Yi ...,DownloadOpenDatasetson1000sofProjects+ShareProjectsonOnePlatform.ExplorePopularTopicsLikeGovernment,Sports,Medic...

參考資訊如下
Best Datasets for Training Semantic Segmentation Models

2024年2月9日 — One of the most widely used computer vision datasets for pre-training deep learning models is ImageNet. With millions of labeled images spanning ...

COCO dataset

COCO is a large-scale object detection, segmentation, and captioning dataset. ... 5 captions per image; 250,000 people with keypoints. Collaborators. Tsung-Yi ...

Datasets

Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More.

image segmentation Computer Vision Project

433 open source roads images plus a pre-trained image segmentation model and API. Created by image segmentation.

Image Segmentation Dataset

Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.

Image segmentation

2024年4月13日 — The dataset consists of images of 37 pet breeds, with 200 images per breed (~100 each in the training and test splits). Each image includes the ...

Image Segmentation

Comprehensive analysis of image segmentation: architectures, loss functions, datasets, and frameworks in modern applications.

Machine Learning Datasets

The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels.

Semantic Segmentation

Semantic Segmentation is a computer vision task in which the goal is to categorize each pixel in an image into a class or object. The goal is to produce a ...