pedestrian
KAIST-Multispectral-Pedestrian-Detection-DatasetPedestrianPart of MONSTER: https://arxiv.org/abs/2502.15122.
Pedestrian
Category
Count
Num. Examples
189,621
Num. Channels
1
Length
24
Sampling Freq.
hourly
Num. Classes
82
License
CC BY 4.0
Citations
[1]
Pedestrian represents hourly pedestrian counts at 82 locations in Melbourne, Australia between 2009 and 2022 [1]. The processed dataset consists of 189,621 (univariate) time series, each of length 24 (i.e., representing 24 hours of data per time series). The data comes… See the full description on the dataset page: https://huggingface.co/datasets/monster-monash/Pedestrian.KAIST-Multispectral-Pedestrian-Benchmarkpedestrian-crosswalks-france-v2pedestrian_counts
pedestrian_counts (TsFile format)
Hourly pedestrian counts captured from 66 sensors in Melbourne city starting from May 2009.
This repository contains the full source .tsf series from the Monash Time Series Forecasting Repository converted to Apache TsFile format.
Summary
Source dataset: Monash-University/monash_tsf
Original source: https://zenodo.org/record/4656626
Monash subset: pedestrian_counts
Modalities: Time-series
Source series: 66
Rows: 3,132,346… See the full description on the dataset page: https://huggingface.co/datasets/THULab/pedestrian_counts.CCTV-Pedestrian-1K-Person-Attribute-Dataset
Pedestrian-1K: Synthetic CCTV Attribute Dataset
High-angle surveillance dataset with natural language descriptions and structured pedestrian attributes for Vision Transformers (ViT) and Re-ID.
🧐 Overview
Pedestrian-1K is a specialized open-source synthetic dataset for Computer Vision (CV) tasks, specifically designed for Pedestrian Attribute Recognition (PAR) and Re-Identification (Re-ID) from an overhead CCTV perspective.
Most existing datasets (like… See the full description on the dataset page: https://huggingface.co/datasets/Simuletic/CCTV-Pedestrian-1K-Person-Attribute-Dataset.