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Table · dataset · 2022

graphs-datasets/CIFAR10

Listed in Hugging Face Datasets

Dataset Card for CIFAR10 Dataset

Description

Summary

The CIFAR10 dataset consists of 45000 images in 10 classes, represented as graphs. Supported Tasks and Leaderboards CIFAR10 should be used for multiclass graph classification. External Use PyGeometric To load in PyGeometric, do the following: from datasets import load_dataset from torch_geometric.data import Data from torch_geometric.loader import DataLoader dataset_hf =… See the full description on the dataset page: huggingface.co/datasets/graphs-datasets/CIFAR10.

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Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
graph ml
Inferred from text
Image 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsgraphs-datasets/CIFAR1014 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
concepts[task].hf_task:graph-mlsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0