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Transductive Zero-Shot Classification datasets

archive 2025-07-28

18 datasets carry the task tag "Transductive Zero-Shot Classification" (the task itself: Transductive Zero-Shot Classification), ordered by the archive's paper count. Page 1 of 1: 18 shown of 18. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Transductive Zero-Shot Classification datasets 1–18 of 18

CIFAR-10

description withheld: archive row vandalised before snapshot

Images Image Classification Classification Image Generation Zero-Shot Learning Anomaly Detection Image Retrieval+58 tasks

16,145 papers · 91 benchmarks

ImageNet

The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy.

Images Image Classification Classification Image Generation Zero-Shot Learning Visual Question Answering (VQA)Few-Shot Image Classification+37 tasks

15,430 papers · 52 benchmarks

CIFAR-100

The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images.

Images Image Classification Classification Image Generation Zero-Shot Learning Anomaly Detection Few-Shot Image Classification+37 tasks

9,045 papers · 51 benchmarks

CUB-200-2011 (Caltech-UCSD Birds-200-2011)

The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task.

Images Image Classification Image Generation Zero-Shot Learning Few-Shot Image Classification Image Retrieval Few-Shot Learning+29 tasks

2,235 papers · 47 benchmarks

UCF101 (UCF101 Human Actions dataset)

UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories.

Videos Zero-Shot Learning Action Recognition Temporal Action Localization Few-Shot Learning Image Clustering Skeleton Based Action Recognition+16 tasks

1,863 papers · 23 benchmarks

Oxford 102 Flower (102 Category Flower Dataset)

Oxford 102 Flower is an image classification dataset consisting of 102 flower categories.

Images Image Classification Image Generation Zero-Shot Learning Few-Shot Image Classification Few-Shot Learning Continual Learning+10 tasks

1,307 papers · 16 benchmarks

DTD (Describable Textures Dataset)

The Describable Textures Dataset (DTD) contains 5640 texture images in the wild.

Images Image Classification Classification Zero-Shot Learning Few-Shot Learning Image Clustering Neural Architecture Search+3 tasks

870 papers · 8 benchmarks

Food-101

The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total of 101k images.

Images Image Classification Classification Zero-Shot Learning Few-Shot Learning Image Clustering Fine-Grained Image Classification+10 tasks

805 papers · 14 benchmarks

Stanford Cars

The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear.

Images Image Classification Image Generation Zero-Shot Learning Few-Shot Image Classification Few-Shot Learning Continual Learning+7 tasks

790 papers · 13 benchmarks

Caltech-101

The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that contains the images not from the 101 object categories.

Images Zero-Shot Learning Semi-Supervised Image Classification Image Clustering Fine-Grained Image Classification Unsupervised Anomaly Detection Transductive Zero-Shot Classification+3 tasks

709 papers · 10 benchmarks

EuroSAT

Eurosat is a dataset and deep learning benchmark for land use and land cover classification.

Images Image Classification Classification Semantic Segmentation Zero-Shot Learning Few-Shot Learning Image Clustering+4 tasks

687 papers · 8 benchmarks

FGVC-Aircraft

FGVC-Aircraft contains 10,200 images of aircraft, with 100 images for each of 102 different aircraft model variants, most of which are airplanes.

Images Image Classification Zero-Shot Learning Few-Shot Learning Image Clustering Fine-Grained Image Classification Neural Architecture Search+5 tasks

520 papers · 12 benchmarks

RESISC45

RESISC45 dataset is a dataset for Remote Sensing Image Scene Classification (RESISC).

Images Image Classification Image Clustering Transductive Zero-Shot Classification Zero-shot Classification (unified classes)Scene Classification

187 papers · 3 benchmarks

Oxford-IIIT Pets

The Oxford-IIIT Pet Dataset is a 37-category pet dataset with roughly 200 images for each class.

Image Classification Zero-Shot Learning Image Clustering Fine-Grained Image Classification Neural Architecture Search Transductive Zero-Shot Classification+2 tasks

59 papers · 5 benchmarks

SUN397

The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images.

Images Image Classification Zero-Shot Learning Few-Shot Learning Image Clustering Fine-Grained Image Classification Transductive Zero-Shot Classification+3 tasks

52 papers · 8 benchmarks

AID (Aerial Image Dataset)

AID is a new large-scale aerial image dataset, by collecting sample images from Google Earth imagery.

Images Transductive Zero-Shot Classification Scene Recognition Object Detection In Aerial Images Zero-shot Classification (unified classes)Scene Classification Remote Sensing Image Classification

40 papers · 2 benchmarks

MLRSNet

MLRSNet is a a multi-label high spatial resolution remote sensing dataset for semantic scene understanding.

Images Image Classification Multi-Label Classification Scene Understanding Transductive Zero-Shot Classification Scene Classification

17 papers · 2 benchmarks

PatternNet

PatternNet is a large-scale high-resolution remote sensing dataset collected for remote sensing image retrieval.

Transductive Zero-Shot Classification

5 papers · 1 benchmark

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.

Transductive Zero-Shot Classification datasets

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Transductive Zero-Shot Classification datasets 1–18 of 18