datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.dogs-video-object-tracking-datasetThe dataset contains frames extracted from videos with dogs on the streets.
Each frame is accompanied by **bounding box** that specifically **tracks the dog**
in the image.
The dataset provides a valuable resource for advancing computer vision tasks,
enabling the development of more accurate and effective solutions for monitoring and
understanding dog behavior in urban settings.XMR_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.cars-video-object-trackingThe collection of overhead video frames, capturing various types of vehicles
traversing a roadway. The dataset inculdes light vehicles (cars) and
heavy vehicles (minivan).pexels-object-tracking-test-videosGCA_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.object_trackingMultimodal_object_tracking