The authors constructed the first publicly available dense GMOT-40: Generic Multiple Object Tracking Dataset, dubbed GMOT-40, which contains 40 carefully annotated sequences evenly distributed among 10 object categories. Each sequence features multiple objects belonging to the same category, with an average of approximately 22 objects per frame. These sequences present various challenges inherent to real-world tracking scenarios, including heavy blur, occlusion, and other complicating factors.

iTRACE simulated evolution of GMOT and GMSST in response to deglacial forcing.

Mot

## Overview

Mot is a dataset for object detection tasks - it contains Person Bicycle Car annotations for 8,696 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

MOT YOLOV4

## Overview

MOT YOLOV4 is a dataset for object detection tasks - it contains Person Handgun Rifle Knife annotations for 8,819 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Dataset Card for VisDrone2019-DET

This is a FiftyOne version of the VisDrone2019-DET dataset with 8629 samples.

  Installation

If you haven't already, install FiftyOne: pip install -U fiftyone

  Usage

import fiftyone as fo import fiftyone.utils.huggingface as fouh

Load the dataset

Note: other available arguments include 'max_samples', 'persistent`, 'overwrite' etc

dataset = fouh.load_from_hub("Voxel51/VisDrone2019-DET")

Launch the App

session =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/visdrone-mot.

built upon DSEC

DeepSea MOT

DeepSea MOT is a benchmark dataset for multi-object tracking on deep-sea video.

  Dataset Description

DeepSea MOT consists of 4 video sequences (2 midwater, 2 benthic) with a total of 2,400 frames and 57,376 annotated objects comprising 188 tracks. The videos were captured by the Monterey Bay Aquarium Research Institute (MBARI) using remotely operated vehicles (ROVs) Doc Ricketts and Ventana in deep-sea environments, showcasing a variety of marine species and… See the full description on the dataset page: https://huggingface.co/datasets/MBARI-org/DeepSea-MOT.

This dataset tracks annual total students amount from 2003 to 2023 for Mot Charter School

MOT 17 20 Subset

## Overview

MOT 17 20 Subset is a dataset for object detection tasks - it contains Mot annotations for 3,849 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [BY-NC-SA 4.0 license](https://creativecommons.org/licenses/BY-NC-SA 4.0).

This dataset tracks annual total classroom teachers amount from 2003 to 2023 for Mot Charter School

This dataset tracks annual free lunch eligibility from 2005 to 2023 for Mot Charter School vs. Delaware and Mot Charter School District

This dataset tracks annual black student percentage from 2003 to 2023 for Mot Charter School vs. Delaware and Mot Charter School District

MOT-Challenge datasets are a benchmark for multi-object tracking.

Hihi Mot Ga

## Overview

Hihi Mot Ga is a dataset for object detection tasks - it contains Dogs annotations for 255 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).

MOT20

Dataset

This dataset was created by Hunain Azam

Released under Apache 2.0

Contents

A Linear Safety Feature is one of a number of various appliances/appurtenances that have been installed or constructed either alongside or as an integral part of the road infrastructure to reduce the severity or potential of accidents. It is a Linear feature

Historical dataset of population level and growth rate for the Thu Dau Mot, Vietnam metro area from 1950 to 2025.