Home › Datasets › task › Few-Shot Object Detection

Few-Shot Object Detection datasets

archive 2025-07-28

8 datasets carry the task tag "Few-Shot Object Detection" (the task itself: Few-Shot Object Detection), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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.

Few-Shot Object Detection datasets 1–8 of 8

COCO (Common Objects in Context)

The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.

Images Videos Object Detection Semantic Segmentation Question Answering Pose Estimation Visual Question Answering (VQA)Instance Segmentation+54 tasks

11,922 papers · 77 benchmarks

LVIS

LVIS is a dataset for long tail instance segmentation.

Images Object Detection Instance Segmentation Few-Shot Object Detection Unsupervised Object Detection Zero-Shot Object Detection Open Vocabulary Object Detection+3 tasks

551 papers · 12 benchmarks

FSOD (Few-Shot Object Detection Dataset)

Few-Shot Object Detection Dataset (FSOD) is a high-diverse dataset specifically designed for few-shot object detection and intrinsically designed to evaluate thegenerality of a model on novel categories.

Images Object Detection Few-Shot Object Detection Object Counting

68 papers · 0 benchmarks

ELEVATER (Evaluation of Language-augmented Visual Task-level Transfer)

The ELEVATER benchmark is a collection of resources for training, evaluating, and analyzing language-image models on image classification and object detection.

Images Texts Image Classification Object Detection Few-Shot Object Detection Zero-Shot Object Detection

25 papers · 2 benchmarks

LOGO-Net

A large-scale logo image database for logo detection and brand recognition from real-world product images.

Object Detection Few-Shot Object Detection Logo Recognition

3 papers · 0 benchmarks

BankNote-Net

Millions of people around the world have low or no vision.

Image Classification Few-Shot Learning Few-Shot Object Detection Contrastive Learning

1 paper · 0 benchmarks

CAMO-FS

CAMO-FS Dataset comes with the paper entitled The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation.

Few-Shot Object Detection Few-shot Instance Segmentation

1 paper · 2 benchmarks

VizWiz-FewShot

VizWiz-FewShot is a a few-shot localization dataset originating from photographers who authentically were trying to learn about the visual content in the images they took.

Images Object Detection Semantic Segmentation Instance Segmentation Few-Shot Object Detection

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.

Few-Shot Object Detection datasets

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

Few-Shot Object Detection datasets 1–8 of 8