tracking-data
maxvit_rmlp_base_rw_224.sw_in12k-finetuned-mobile-eye-tracking-dataset-v2swin-tiny-patch4-window7-224-finetuned-mobile-eye-tracking-dataset-v2vit-base-patch16-224-finetuned-mobile-eye-tracking-dataset-v2vit-base-patch16-224-in21k-mobile-eye-tracking-dataset-v1vit-base-patch16-224-in21k-mobile-eye-tracking-dataset-v0vit-base-patch16-224-in21k-finetuned-mobile-eye-tracking-dataset-v2vit-base-patch16-224-in21k-mobile-eye-tracking-dataset-v2beit-base-patch16-224-pt22k-ft22k-finetuned-mobile-eye-tracking-dataset-v2
ship-tracking-dataMaritime_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.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/othmaneirl/Maritime_Visual_Tracking_Dataset_MVTD.MUOT_3M-A_3_Million_Frame_Underwater_Object_Tracking_Dataset
🌊 MUOT-3M: The Largest Multimodal Underwater Object Tracking Dataset
Official repository for MUOT-3M📄 MUOT-3M: The Largest Multimodal Underwater Object Tracking Dataset and MUTrack Tracking Method
🚀 Overview
MUOT-3M is currently the largest underwater object tracking dataset, containing over 3 million annotated frames across 3,030 underwater videos with synchronized multimodal annotations.
The benchmark is designed to advance research in:
Underwater object tracking… See the full description on the dataset page: https://huggingface.co/datasets/AhsanBB/MUOT_3M-A_3_Million_Frame_Underwater_Object_Tracking_Dataset.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.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/sivzzz/Maritime_Visual_Tracking_Dataset_MVTD.