datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hand_tracking_challenge_umetrackCheck out the Multiview Egocentric Hand Tracking Challenge 2024!!
To use this dataset, check out the hand_tracking_toolkit
Maritime_Visual_Tracking_Dataset_MVTD
MVTD: Maritime Visual Tracking Dataset
Overview
MVTD (Maritime Visual Tracking Dataset) is a large-scale benchmark dataset designed specifically for single-object visual tracking (VOT) in maritime environments.It addresses challenges unique to maritime scenes: such as water reflections, low-contrast objects, dynamic backgrounds, scale variation, and severe illumination changes—which are not adequately covered by generic tracking datasets.
The dataset contains 182… See the full description on the dataset page: https://huggingface.co/datasets/AhsanBB/Maritime_Visual_Tracking_Dataset_MVTD.human-motion-tracking-deeplabcutThis dataset is used to adapt DeepLabCut for Human motion tracking.
Structure of the dataset
videos contains 100+ videos of 4 candidates recorded during a game of darts.
labeled-data contains labels on the corresponding frames of the videos. These labels are used to adapt DeepLabCut for human motion tracking. Under labeled-data there are 2 folders for every video.
video_name has all the relevant frames extracted from the video, xy coordinates of the labels in the csv file and the… See the full description on the dataset page: https://huggingface.co/datasets/GT-Neuronext/human-motion-tracking-deeplabcut.human-motion-tracking-deeplabcutThis dataset is used to adapt DeepLabCut for Human motion tracking.
Structure of the dataset
videos contains 100+ videos of 4 candidates recorded during a game of darts.
labeled-data contains labels on the corresponding frames of the videos. These labels are used to adapt DeepLabCut for human motion tracking. Under labeled-data there are 2 folders for every video.
video_name has all the relevant frames extracted from the video, xy coordinates of the labels in the csv file and the… See the full description on the dataset page: https://huggingface.co/datasets/pratikshapai/human-motion-tracking-deeplabcut.gimbaled-uav-tracking-dataset
Gimbaled UAV Tracking Dataset / 云台无人机追踪数据集
A real-world, multi-sensor dataset for active localization of a non-cooperative
UAV using a two-axis gimbaled LiDAR–camera fusion system. It contains 16 flight
sequences acquired with a ground vehicle platform, together with the associated
tracking outputs and an RTK-based position reference.
面向非合作无人机主动定位的实测多传感数据集，采集自一套基于两轴云台
LiDAR–相机融合的地面车辆平台。包含 16 个飞行序列，并附带相应的跟踪
输出与基于 RTK 的位置参考。
The sequences span two acquisition days, sunny and… See the full description on the dataset page: https://huggingface.co/datasets/humanoidro/gimbaled-uav-tracking-dataset.NJU-HARD-Tracking
NJU-HARD-Tracking
Multi-Object Tracking across 122 MP UAV Image Sequences
🤗 Hugging Face · 🟣 ModelScope · 📊 Statistics: HF / MS
English | 中文: Hugging Face · ModelScope
🌍 Overview
NJU-HARD-Tracking provides the multi-object-tracking release of HARD, with full-resolution frames, temporal ordering, and the original instance annotations. It supports studying how detection and association behave across wide-area aerial… See the full description on the dataset page: https://huggingface.co/datasets/RL-MIND/NJU-HARD-Tracking.SN-Tracking-2023pig-detection-and-tracking
🐷 Dataset for the paper: Benchmarking pig detection and tracking under diverse and challenging conditions
Note: This dataset does not provide a load_dataset interface.
More detailed descriptions about the dataset can be found in the corresponding paper.
⬇️ Downloading the dataset
You can download the dataset using the Hugging Face CLI. First, install the following package:
pip install huggingface_hub
The entire dataset (roughly 25 GB) can then be downloaded as follows:… See the full description on the dataset page: https://huggingface.co/datasets/jonaden/pig-detection-and-tracking.reid-people-tracking
Reid People Tracking
Person re-identification dataset for tracking individuals across camera views.
Details
Property
Value
Samples
101
Media
image
Fields
global_id, confidence, camera_id, timestamp, embeddings
Usage
from fiftyone.utils.huggingface import load_from_hub
dataset = load_from_hub("Voxel51/reid-people-tracking")
Uploaded with FiftyOne Skills
cars-object-tracking
Cars Object Tracking
Dataset comprises 10,000+ video frames featuring both light vehicles (cars) and heavy vehicles (minivans). This extensive collection is meticulously designed for research in multi-object tracking and object detection, providing a robust foundation for developing and evaluating various tracking algorithms for road safety system development.
By utilizing this dataset, researchers can significantly enhance their understanding of vehicle dynamics and improve… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/cars-object-tracking.yuxuan_good_dataset_dtMaritime_Visual_Tracking_Dataset_MVTD
MVTD: Maritime Visual Tracking Dataset
Overview
MVTD (Maritime Visual Tracking Dataset) is a large-scale benchmark dataset designed specifically for single-object visual tracking (VOT) in maritime environments.It addresses challenges unique to maritime scenes: such as water reflections, low-contrast objects, dynamic backgrounds, scale variation, and severe illumination changes—which are not adequately covered by generic tracking datasets.
The dataset contains 182… See the full description on the dataset page: https://huggingface.co/datasets/sivzzz/Maritime_Visual_Tracking_Dataset_MVTD.GCA_suction_franka_a01_tracking_id1_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "franka",
"total_episodes": 2,
"total_frames": 215,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/hyzhang01/GCA_suction_franka_a01_tracking_id1_v2.reconstruction-tracking-syntheticGaussFly-huayiguan-tracking-100
GaussFly Huayiguan Tracking Dataset
华裔馆（huayiguan）场景的双智能体 Tracking 测试数据集。G1 在场景中导航，Rear 无人机跟踪 G1；每秒规划一次，保存 1 条最优轨迹和 10 条次优候选轨迹。
本数据集用于先验证数据加载、视觉 Tracking、候选轨迹预测/排序和训练流程能否跑通。它只包含成功 episode，不包含失败轨迹。
数据概况
项目
数值
成功 episode
100
Shard
5 个，每个 20 episode
总帧数
127,384
仿真步长
0.02 s（50 Hz）
RGB
Rear 第一视角，256 × 256 × 3，uint8
重规划记录
2,600
每次规划
11 条候选轨迹
每条候选
未来 4 s，0.1 s 间隔，共 41 个状态
自动验证
100/100 episode 通过
文件结构
README.md… See the full description on the dataset page: https://huggingface.co/datasets/jokeryao/GaussFly-huayiguan-tracking-100.Drone_Tracking_Datayuxuan_good_dataset_sttMulti-Camera-Multi-Vehicle-Tracking-System
Multi-Camera Multi-Vehicle Tracking System (UAV Dataset)
This dataset contains synchronized multi-UAV video footage and comprehensive tracking annotations, accompanying the paper A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking.
It is designed for evaluating real-time multi-camera multi-vehicle tracking (MCMT) systems, focusing on solving trajectory fragmentation and maintaining global identity persistence across isolated UAV fields of view.… See the full description on the dataset page: https://huggingface.co/datasets/jye9/Multi-Camera-Multi-Vehicle-Tracking-System.VISEM-Tracking
To use this dataset for your research, please cite the following preprint. Full-paper will be available soon.
Preprint
Citation:
@article{thambawita2022visem,
title={VISEM-Tracking: Human Spermatozoa Tracking Dataset},
author={Thambawita, Vajira and Hicks, Steven A and Stor{\aa}s, Andrea M and Nguyen, Thu and Andersen, Jorunn M and Witczak, Oliwia and Haugen, Trine B and Hammer, Hugo L, and Halvorsen, P{\aa}l and Riegler, Michael A},
journal={arXiv preprint… See the full description on the dataset page: https://huggingface.co/datasets/SimulaMet-HOST/VISEM-Tracking.yuxuan_dataset_dtyuxuan_dataset_sttGCA_suction_franka_a01_trackingThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "franka",
"total_episodes": 32,
"total_frames": 3504,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:32"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/hyzhang01/GCA_suction_franka_a01_tracking.soccernet-tracking
SoccerNet-Tracking — private transfer
Original source: https://github.com/SoccerNet/sn-tracking
Original train, test and 2022 challenge archives, preserving consecutive frames, MOT annotations and sequence metadata. Not the sparse SoccerNet-v3 dataset. Held-out identity ground truth may be withheld; no private challenge labels are fetched.
Original SoccerNet access and usage terms apply. This mirror grants no additional rights. Do not make public. Restore with make mot_data in… See the full description on the dataset page: https://huggingface.co/datasets/bambezius/soccernet-tracking.eye_tracking_gazecaptureXMR_Demo_Object_Tracking
Demo for Hyperspectral Object Tracking
Video spectroscopy beyond the visible spectrum, applied to object tracking in a crowded bus-station scene. Captured with a Cubert Ultris XMR camera — 61 bands per pixel, 430–910 nm, 1080 × 1000 pixels at 15 Hz.
Object tracking is a general computer-vision problem — the "object" could be a vehicle, a container, a piece of equipment, or an animal. In this demo the target class is humans: a crowded public scene with people in… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/XMR_Demo_Object_Tracking.africa-synth-governance-budget-execution-tracking-nigeria
Nigeria Budget Execution Tracking | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: governance_security - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-governance-budget-execution-tracking-nigeria.GCA_suction_franka_a01_tracking_id1_v2_object_maskThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "franka",
"total_episodes": 2,
"total_frames": 215,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:2"},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/hyzhang01/GCA_suction_franka_a01_tracking_id1_v2_object_mask.GCA_suction_franka_a01_tracking_id1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "franka",
"total_episodes": 2,
"total_frames": 215,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/hyzhang01/GCA_suction_franka_a01_tracking_id1.gym_members_exercise_tracking_synthetic_dataREADME - shylee presenty
The project is based on the “Gym Members Exercise Tracking Synthetic Data” dataset from Kaggle, which contains approximately 1,800 records. Each record represents an individual gym member and includes around 15 physical and behavioral attributes.
The physiological features include:
Age
Gender
Weight
Height
BMI
Body fat percentage
Heart rate measurements (Resting / Avg / Max BPM)
In addition, the dataset includes workout-related features such as:
Session duration… See the full description on the dataset page: https://huggingface.co/datasets/shylee1/gym_members_exercise_tracking_synthetic_data.africa-synth-health-expenditure-tracking-all
Health Expenditure Tracking (NHA/SHA) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-health-expenditure-tracking-all.