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Multiple People Tracking datasets

archive 2025-07-28

6 datasets carry the task tag "Multiple People Tracking" (the task itself: Multiple People Tracking), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. 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

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Multiple People Tracking 6

Multiple People Tracking datasets 1–6 of 6

2024 AI City Challenge
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).
Videos2D Object DetectionObject DetectionAction RecognitionObject TrackingMulti-Object TrackingVideo Captioning+2 tasks
10 papers · 1 benchmark
MMPTRACK (Multi-camera Multiple People Tracking Dataset)
Multi-camera Multiple People Tracking (MMPTRACK) dataset has about 9.6 hours of videos, with over half a million frame-wise annotations.
VideosTrackingObject TrackingMulti-Object TrackingVisual TrackingMultiple Object TrackingOnline Multi-Object TrackingMultiple People Tracking+1 tasks
6 papers · 1 benchmark
PersonPath22
PersonPath22 is a large-scale multi-person tracking dataset containing 236 videos captured mostly from static-mounted cameras, collected from sources where we were given the rights to redistribute the content and participants have given…
ImagesObject TrackingMulti-Object TrackingMultiple Object TrackingOnline Multi-Object TrackingMultiple People Tracking
2 papers · 1 benchmark
LTFT (Long-Term Face Tracking)
Dataset originally conceived for multi-face tracking/detection for highly crowded scenarios.
VideosFace RecognitionMulti-Object TrackingVisual TrackingFace DetectionFace IdentificationMultiple People Tracking+1 tasks
1 paper · 0 benchmarks
SOMPT22 (Surveillance Oriented Multi-Pedestrian Tracking Dataset (SOMPT22))
SOMPT22 is a multi-object tracking (MOT) benchmark focused on surveillance-style pedestrian tracking.
ImagesVideosTrackingObject DetectionMultiple Object TrackingMultiple People Tracking
1 paper · 0 benchmarks
Crowd in a rally | Crowd Counting | Crowd Human (datacluster.ai)
This dataset is an extremely challenging set of over 3000+ original Crowd images captured and crowdsourced from over 300+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at…
ImagesCrowd CountingMultiple People TrackingHuman Detection
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.