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Object Localization datasets

archive 2025-07-28

18 datasets carry the task tag "Object Localization" (the task itself: Object Localization), 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.

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

Object Localization datasets 1–18 of 18

The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
11,922 papers · 77 benchmarks
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
Mall (Mall Dataset)
The Mall is a dataset for crowd counting and profiling research.
64 papers · 1 benchmark
Contains 51,583 descriptions of 11,046 objects from 800 ScanNet scenes.
63 papers · 1 benchmark
The SIXray dataset is constructed by the Pattern Recognition and Intelligent System Development Laboratory, University of Chinese Academy of Sciences.
39 papers · 1 benchmark
HDD (Honda Research Institute Driving Dataset)
Honda Research Institute Driving Dataset (HDD) is a dataset to enable research on learning driver behavior in real-life environments.
38 papers · 0 benchmarks
UVO (Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation)
UVO is a new benchmark for open-world class-agnostic object segmentation in videos.
27 papers · 2 benchmarks
GRIT (General Robust Image Task Benchmark)
The General Robust Image Task (GRIT) Benchmark is an evaluation-only benchmark for evaluating the performance and robustness of vision systems across multiple image prediction tasks, concepts, and data sources.
16 papers · 5 benchmarks
RF100 (Roboflow 100)
The evaluation of object detection models is usually performed by optimizing a single metric, e.g.
5 papers · 1 benchmark
IllusionVQA is a Visual Question Answering (VQA) dataset with two sub-tasks.
3 papers · 2 benchmarks
FracAtlas (A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs)
FractureAtlas is a musculoskeletal bone fracture dataset with annotations for deep learning tasks like classification, localization, and segmentation.
2 papers · 0 benchmarks
HRPlanesV2 (HRPlanesv2 - High Resolution Satellite Imagery for Aircraft Detection)
The HRPlanesv2 dataset contains 2120 VHR Google Earth images.
1 paper · 0 benchmarks
SolarDK is a dataset for the detection and localization of solar.
1 paper · 0 benchmarks
Spatial Commonsense Graph Dataset (Spatial Commonsense Graph for Object Localisation in Partial Scenes)
Dataset built from partial reconstructions of real-world indoor scenes using RGB-D sequences from ScanNet, aimed at estimating the unknown position of an object (e.g.
1 paper · 0 benchmarks
Synthetic soccer players rendered on top of real world stadium images in 4K covering half a pitch each.
1 paper · 1 benchmark
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
Infinity AI's Spills Basic Dataset is a synthetic, open-source dataset for safety applications.
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.