TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Datasets/Places365

Places365

ImagesIntroduced 2019-09-05

The Places365 dataset is a scene recognition dataset. It is composed of 10 million images comprising 434 scene classes. There are two versions of the dataset: Places365-Standard with 1.8 million train and 36000 validation images from K=365 scene classes, and Places365-Challenge-2016, in which the size of the training set is increased up to 6.2 million extra images, including 69 new scene classes (leading to a total of 8 million train images from 434 scene classes).

Source: Semantic-Aware Scene Recognition Image Source: Places

Benchmarks

2D Semantic Segmentation/Top 1 Accuracy2D Semantic Segmentation/Top 5 Accuracy3D Character Animation From A Single Photo/Top 1 Accuracy3D Character Animation From A Single Photo/Top 5 AccuracyAnimation/Top 1 AccuracyAnimation/Top 5 AccuracyImage Classification/Top 1 AccuracyImage Generation/L1 errorImage Inpainting/L1 errorScene Parsing/Top 1 AccuracyScene Parsing/Top 5 Accuracy

Related Benchmarks

Places365-Standard/Image Classification/Top 1 AccuracyPlaces365-Standard/Image Outpainting/AdversarialPlaces365-Standard/Image Outpainting/L1Places365-Standard/Image Outpainting/MSEPlaces365-Standard/Scene Classification/Top 1 ErrorPlaces365-Standard/Scene Classification/Top 5 Error

Statistics

Papers
65
Benchmarks
11

Links

Homepage

Tasks

2D Semantic Segmentation3D Character Animation From A Single PhotoAnimationImage ClassificationImage GenerationImage InpaintingImage OutpaintingOut-of-Distribution DetectionScene ClassificationScene ParsingScene RecognitionSemantic Segmentation