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PHDF-Dataset

PHDF‑Dataset is a pedestrian head detection dataset based on a fisheye camera, containing 2,201 images annotated with 13,887 pedestrian heads. Released by the Shien‑Ming Wu Lab of the School of Intelligent Engineering, South China University of Technology, for non‑commercial research purposes.

Updated 3/7/2024
github

Description

PHDF‑Dataset Overview

Dataset Description

  • Type: Pedestrian head detection dataset
  • Features: Based on a fisheye camera, bird’s‑eye view
  • Scale: Contains 2,201 images, annotated with 13,887 pedestrian heads

Data Collection

  • Acquisition: Videos captured with a fisheye camera in three different scenes, supplemented with bird’s‑eye view fisheye videos downloaded from the Bomni‑DB dataset
  • Image Processing: Extracted 2,201 frames from video data and resized each image to 512 × 512 pixels
  • Annotation: Pedestrian heads in all images are annotated with rectangular boxes

Dataset Composition

  • Split: 1,800 images for training, 401 images for testing
  • File Structure: Contains train and test folders, each containing images and corresponding XML files that describe head positions

Usage Restrictions

  • Purpose: Limited to non‑commercial research

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Topics

Pedestrian Detection
Computer Vision

Source

Organization: github

Created: 4/19/2019

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