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2D Object Detection datasets

archive 2025-07-28

92 datasets carry the task tag "2D Object Detection" (the task itself: 2D Object Detection), ordered by the archive's paper count. Page 1 of 2: 48 shown of 92. 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 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

2D Object Detection datasets 1–48 of 92

Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving.
469 papers · 16 benchmarks
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images.
108 papers · 4 benchmarks
ExDark (Exclusively Dark Image Dataset)
The Exclusively Dark (ExDARK) dataset is a collection of 7,363 low-light images from very low-light environments to twilight (i.e 10 different conditions) with 12 object classes (similar to PASCAL VOC) annotated on both image class level…
58 papers · 2 benchmarks
COCO-O(ut-of-distribution) contains 6 domains (sketch, cartoon, painting, weather, handmake, tattoo) of COCO objects which are hard to be detected by most existing detectors.
44 papers · 1 benchmark
We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 samples in controlled weather conditions within a fog chamber.
34 papers · 2 benchmarks
PACO (Parts and Attributes of Common Objects)
Parts and Attributes of Common Objects (PACO) is a detection dataset that goes beyond traditional object boxes and masks and provides richer annotations such as part masks and attributes.
32 papers · 0 benchmarks
KITTI MOTS (KITTI Multi-Object Tracking and Segmentation (MOTS) Evaluation)
The Multi-Object and Segmentation (MOTS) benchmark [2] consists of 21 training sequences and 29 test sequences.
28 papers · 1 benchmark
Object detection benchmark for logo detection.
26 papers · 3 benchmarks
RADIATE (RAdar Dataset In Adverse weaThEr)
RADIATE (RAdar Dataset In Adverse weaThEr) is new automotive dataset created by Heriot-Watt University which includes Radar, Lidar, Stereo Camera and GPS/IMU.
24 papers · 2 benchmarks
We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 samples in controlled weather conditions within a fog chamber.
20 papers · 2 benchmarks
CoIR (Code Information Retrieval Benchmark)
CoIR (Code Information Retrieval) benchmark, is designed to evaluate code retrieval capabilities.
18 papers · 1 benchmark
DroneVehicle (VisDrone-DroneVehicle)
The DroneVehicle dataset consists of a total of 56,878 images collected by the drone, half of which are RGB images, and the resting are infrared images.
18 papers · 1 benchmark
GEN1 Detection (Prophesee GEN1 Automotive Detection Dataset)
Prophesee’s GEN1 Automotive Detection Dataset is the largest Event-Based Dataset to date.
13 papers · 1 benchmark
The SARDet-100K dataset encompasses a total of 116,598 images, and 245,653 instances distributed across six categories: Aircraft, Ship, Car, Bridge, Tank, and Harbor.
13 papers · 1 benchmark
The AI City Challenge, hosted at CVPR 2024, focuses on harnessing AI to enhance operational efficiency in physical settings such as retail and warehouse environments, and Intelligent Traffic Systems (ITS).
10 papers · 1 benchmark
UIIS (General Underwater Image Instance Segmentation dataset)
This is the first general Underwater Image Instance Segmentation (UIIS) dataset containing 4,628 images for 7 categories with pixel-level annotations for underwater instance segmentation task
9 papers · 1 benchmark
DUO (Detecting Underwater Objects)
DUO is a dataset for Underwater object detection for robot picking.
8 papers · 1 benchmark
DOLPHINS (Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-driving)
Vehicle-to-Everything (V2X) network has enabled collaborative perception in autonomous driving, which is a promising solution to the fundamental defect of stand-alone intelligence including blind zones and long-range perception.
7 papers · 0 benchmarks
CeyMo is a novel benchmark dataset for road marking detection which covers a wide variety of challenging urban, sub-urban and rural road scenarios.
6 papers · 1 benchmark
Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories.
6 papers · 0 benchmarks
VEDAI (Vehicle Detection in Aerial Imagery)
VEDAI is a dataset for Vehicle Detection in Aerial Imagery, provided as a tool to benchmark automatic target recognition algorithms in unconstrained environments.
6 papers · 1 benchmark
FishEye8K (FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection)
With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras.
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
SODA-D is a large-scale dataset tailored for small object detection in driving scenario, which is built on top of MVD dataset and owned data, where the former is a dataset dedicated to pixel-level understanding of street scenes, and the…
5 papers · 1 benchmark
FES (Fisheye Evaluation Suite)
FES is an indoor dataset that can be used for evaluation of deep learning approaches.
4 papers · 0 benchmarks
USIS10K (Large-scale Underwater Salient Instance Segmentation Dataset)
We construct the first large-scale dataset, USIS10K, for the underwater salient instance segmentation task, which contains 10,632 images and pixel-level annotations of 7 categories.
4 papers · 0 benchmarks
✔️Abstract A Brain tumor is considered as one of the aggressive diseases, among children and adults.
3 papers · 0 benchmarks
The dataset, comprising 1204 meticulously curated images, serves as a comprehensive resource for advancing real-time mosquito detection models.
3 papers · 0 benchmarks
PoPArt (Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History)
Throughout the history of art, the pose—as the holistic abstraction of the human body's expression—has proven to be a constant in numerous studies.
3 papers · 1 benchmark
SCoralDet Dataset (Soft-Coral Detection Dataset)
> High-quality underwater coral detection dataset for machine learning and computer vision research.
3 papers · 1 benchmark
A real-world dataset, with hyper-accurate digital counterpart & comprehensive ground-truth annotation.
2 papers · 1 benchmark
C2A: Human Detection in Disaster Scenarios (Combination to Application)
C2A: Combination to Application Dataset Overview This repository contains the code and information for the paper "UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster…
2 papers · 1 benchmark
CVB (Video Dataset of Cattle Visual Behaviors)
Existing image/video datasets for cattle behavior recognition are mostly small, lack well-defined labels, or are collected in unrealistic controlled environments.
2 papers · 0 benchmarks
LoTE-Animal (LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding)
Understanding and analyzing animal behavior is increasingly essential to protect endangered animal species.
2 papers · 1 benchmark
MMVR (Millimeter-wave Multi-View Radar (MMVR) Dataset)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
2 papers · 0 benchmarks
Synthetic dataset of over 13,000 images of damaged and intact parcels with full 2D and 3D annotations in the COCO format.
2 papers · 0 benchmarks
TBBR (Thermal Bridges on Building Rooftops)
The dataset of Thermal Bridges on Building Rooftops (TBBR dataset) consists of annotated combined RGB and thermal drone images with a height map.
2 papers · 2 benchmarks
destruction (desctruction detection dataset)
This dataset contains pre and post destruction images and also segmentation labels for test images.
2 papers · 0 benchmarks
A Large Scale Fish Dataset (A Large-Scale Dataset for Fish Segmentation and Classification)
This dataset contains 9 different seafood types collected from a supermarket in Izmir, Turkey for a university-industry collaboration project at Izmir University of Economics, and this work was published in ASYU 2020.
1 paper · 0 benchmarks
This dataset contains a collection of 131 X-ray CT scans of pieces of modeling clay (Play-Doh) with various numbers of stones inserted, retrieved in the FleX-ray lab at CWI.
1 paper · 0 benchmarks
This dataset contains a collection of 235800 X-ray projections of 131 pieces of modeling clay (Play-Doh) with various numbers of stones inserted.
1 paper · 0 benchmarks
Overview This is a dataset of blood cells photos.
1 paper · 0 benchmarks
Bramble flower image dataset (BRAMBLE FLOWER DETECTION AND CLASSIFICATION DATASET FOR PRECISION POLLINATION)
This dataset contains both the artificial and real flower images of bramble flowers.
1 paper · 0 benchmarks
CLCXray (Cutters and Liquid Containers X-ray Dataset)
The CLCXray dataset contains 9,565 X-ray images, in which 4,543 X-ray images (real data) are obtained from the real subway scene and 5,022 X-ray images (simulated data) are scanned from manually designed baggage.
1 paper · 1 benchmark
COCO-OOC goes beyond standard object detection to ask the question: Which objects are out-of-context (OOC)?
1 paper · 1 benchmark
In this dataset an uppertorso humanoid robot with 7-DOF arm explored 100 different objects belonging to 20 different categories using 10 behaviors: Look, Crush, Grasp, Hold, Lift, Drop, Poke, Push, Shake and Tap.
1 paper · 0 benchmarks
ChessReD2K (Chess Recognition Dataset 2K)
The Chess Recognition Dataset 2K (ChessReD2K) comprises a diverse collection of images of chess formations captured using smartphone cameras; a sensor choice made to ensure real-world applicability.
1 paper · 0 benchmarks
DermSynth3D (3DBodyTex.DermSynth3D)
A dataset of 100K synthetic images of skin lesions, ground-truth (GT) segmentations of lesions and healthy skin, GT segmentations of seven body parts (head, torso, hips, legs, feet, arms and hands), and GT binary masks of non-skin regions…
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.