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Object Counting datasets

archive 2025-07-28

28 datasets carry the task tag "Object Counting" (the task itself: Object Counting), ordered by the archive's paper count. Page 1 of 1: 28 shown of 28. 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.

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

Object Counting datasets 1–28 of 28

The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
11,922 papers · 77 benchmarks
PASCAL VOC (PASCAL Visual Object Classes Challenge)
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, boat, bus, car, motorbike, train, bottle, chair, dining table, potted plant, sofa,…
198 papers · 18 benchmarks
CARPK (car parking lot dataset)
The Car Parking Lot Dataset (CARPK) contains nearly 90,000 cars from 4 different parking lots collected by means of drone (PHANTOM 3 PROFESSIONAL).
71 papers · 1 benchmark
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.
68 papers · 0 benchmarks
We introduce a dataset of 147 object categories containing over 6000 images that are suitable for the few-shot counting task.
58 papers · 4 benchmarks
TallyQA is a large-scale dataset for open-ended counting.
33 papers · 2 benchmarks
COWC (Cars Overhead With Context)
The Cars Overhead With Context (COWC) data set is a large set of annotated cars from overhead.
22 papers · 0 benchmarks
COST (COCO Segmentation Text)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
11 papers · 0 benchmarks
AGAR (Annotated Germs for Automated Recognition)
The Annotated Germs for Automated Recognition (AGAR) dataset is an image database of microbial colonies cultured on an agar plate.
7 papers · 0 benchmarks
TRANCOS (TRaffic ANd COngestionS)
7 papers · 2 benchmarks
25kTrees (Individual Tree Crown Annotations)
Manual crown delineation of individual trees in two countries: Denmark and Finland.
5 papers · 0 benchmarks
HowMany-Qa is a object counting dataset.
5 papers · 1 benchmark
RF100 (Roboflow 100)
The evaluation of object detection models is usually performed by optimizing a single metric, e.g.
5 papers · 1 benchmark
fluocells (Fluorescent Neuronal Cells)
By releasing this dataset, we aim at providing a new testbed for computer vision techniques using Deep Learning.
3 papers · 0 benchmarks
iWildCam 2021 is a dataset for counting the number of animals of each species that appear in sequences of images captured with camera traps.
3 papers · 0 benchmarks
Blue Cells enumeration dataset (Learning to Count Objects in Images blue cells dataset)
Dataset created in the paper "Learning to Count Objects in Images" by Victor Lempitsky and Andrew Zisserman exists as a benchmark to have a dataset useful for cell enumeration.
2 papers · 0 benchmarks
The LeukemiaAttri dataset is a large-scale, multi-domain collection of microscopy images derived from leukemia patient samples, enriched with detailed morphological information.
2 papers · 2 benchmarks
RSOC (Remote Sensing Object Counting)
RSOC is a large-scale object counting dataset with remote sensing images, which contains four important geographic objects: buildings, crowded ships in harbors, large-vehicles and small-vehicles in parking lots.
2 papers · 0 benchmarks
SmartCity consists of 50 images in total collected from ten city scenes including office entrance, sidewalk, atrium, shopping mall etc..
2 papers · 0 benchmarks
ACCT Data Repository (ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentation)
This dataset is a collection of fluorescent images from mice in order to test an automatic cell counting tool that we developed.
1 paper · 0 benchmarks
These images consist of a series of bacteria of the type Bacillus Subtilis that are suspended and captured by a digital microscope.
1 paper · 0 benchmarks
BBBC041 (P. vivax (malaria) infected human blood smears)
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1 paper · 0 benchmarks
The researchers collected a dataset of 3,500 images of Tilapia fish in a small bowl containing three fish per image.
1 paper · 0 benchmarks
Loucount is a retail object detection and and counting dataset with rich annotations in retail stores, which consists of 50, 394 images with more than 1.9 million object instances in 140 categories
1 paper · 0 benchmarks
To effectively evaluate OmniCount across open-vocabulary, supervised, and few-shot counting tasks, a dataset catering to a broad spectrum of visual categories and instances featuring various visual categories with multiple instances and…
1 paper · 2 benchmarks
The VGG Cell dataset (made up entirely of synthetic images) is the main public benchmark used to compare cell counting techniques.
1 paper · 0 benchmarks
The penguin dataset is a collection of images of penguin colonies in Antarctica coming from the larger penguin watch project, which was setup with the purpose of monitoring their changes in population.
0 papers · 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.