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Neural Architecture Search datasets

archive 2025-07-28

27 datasets carry the task tag "Neural Architecture Search" (the task itself: Neural Architecture Search), ordered by the archive's paper count. Page 1 of 1: 27 shown of 27. 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.

Neural Architecture Search datasets 1–27 of 27

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

MNIST

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits.

Images Image Classification Speech Recognition Question Answering Image Generation Text Classification Anomaly Detection+55 tasks

7,651 papers · 44 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

STL-10 (Self-Taught Learning 10)

The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or self-taught learning.

Images Image Classification Image Generation Anomaly Detection Semi-Supervised Image Classification Image Clustering Out-of-Distribution Detection+12 tasks

1,092 papers · 18 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

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

NAS-Bench-201

NAS-Bench-201 is a benchmark (and search space) for neural architecture search.

Images Image Classification Neural Architecture Search Hyperparameter Optimization

260 papers · 4 benchmarks

LIDC-IDRI

The LIDC-IDRI dataset contains lesion annotations from four experienced thoracic radiologists.

Images Medical Neural Architecture Search Lung Nodule Segmentation Lung Nodule Detection Lung Nodule Classification Lung Nodule 3D Classification Lung Nodule 3D Detection

240 papers · 6 benchmarks

CINIC-10

CINIC-10 is a dataset for image classification.

Images Image Classification Neural Architecture Search Sparse Learning

197 papers · 3 benchmarks

NAS-Bench-101

NAS-Bench-101 is the first public architecture dataset for NAS research.

Tabular AutoML Neural Architecture Search Hyperparameter Optimization

152 papers · 1 benchmark

Oxford-IIIT Pet Dataset

The Oxford-IIIT Pet Dataset has 37 categories with roughly 200 images for each class.

Images Image Classification Fine-Grained Image Classification Neural Architecture Search Prompt Engineering Image Compression

90 papers · 5 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

NATS-Bench

A unified benchmark on searching for both topology and size, for (almost) any up-to-date NAS algorithm.

Neural Architecture Search

43 papers · 5 benchmarks

Visual Wake Words

Visual Wake Words represents a common microcontroller vision use-case of identifying whether a person is present in the image or not, and provides a realistic benchmark for tiny vision models.

Images Image Classification Neural Architecture Search Quantization Hardware Aware Neural Architecture Search

40 papers · 1 benchmark

NAS-Bench-1Shot1

NAS-Bench-1Shot1 draws on the recent large-scale tabular benchmark NAS-Bench-101 for cheap anytime evaluations of one-shot NAS methods.

AutoML Neural Architecture Search Adversarial Attack

24 papers · 0 benchmarks

MIR-1K

MIR-1K (Multimedia Information Retrieval lab, 1000 song clips) is a dataset designed for singing voice separation.

Texts Audio Neural Architecture Search Speech Separation Music Source Separation

21 papers · 0 benchmarks

TransNAS-Bench-101

TransNAS-Bench-101 is a Neural Architecture Search (NAS) benchmark dataset containing network performance across seven tasks, covering classification, regression, pixel-level prediction, and self-supervised tasks.

Images Neural Architecture Search

14 papers · 0 benchmarks

CODEBRIM (COncrete DEfect BRidge IMage Dataset)

Dataset for multi-target classification of five commonly appearing concrete defects.

Meta-Learning Neural Architecture Search

9 papers · 0 benchmarks

Freiburg Groceries

Freiburg Groceries is a groceries classification dataset consisting of 5000 images of size 256x256, divided into 25 categories.

Images Object Detection Neural Architecture Search Object Recognition

7 papers · 0 benchmarks

FarsBase-KBP

FarsBase-KBP contains 22015 sentences, in which the entities and relation types are linked to the FarsBase ontology.

Texts Entity Linking Neural Architecture Search Knowledge Base Population

2 papers · 0 benchmarks

EA-HAS-Bench (Energy-Aware Hyperparameter and Architecture Search Benchmark)

We present the first large-scale energy-aware benchmark that allows studying AutoML methods to achieve better trade-offs between performance and search energy consumption, named EA-HAS-Bench.

Neural Architecture Search

1 paper · 0 benchmarks

HW-NAS-Bench

HW-NAS-Bench is a dataset for HardWare-aware Neural Architecture Search (HW-NAS).

Neural Architecture Search

1 paper · 0 benchmarks

JHU CoSTAR Block Stacking Dataset

Involves data where a robot interacts with 5.1 cm colored blocks to complete an order-fulfillment style block stacking task.

Images 3D Point cloud RGB-D RGB Video Neural Architecture Search

1 paper · 0 benchmarks

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.

Neural Architecture Search datasets

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

Neural Architecture Search datasets 1–27 of 27