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DeepFisheye Dataset

The DeepFisheye dataset includes both synthetic and real data. The synthetic portion consists of fisheye color images, depth maps, and 3D joint data captured from a Unity virtual environment, comprising roughly 233,000 image‑joint pairs. The real portion contains fisheye color images and 3D joint data captured with a FLIR CM3‑U3‑13Y3C‑CS machine‑vision camera; joint data recorded by a Leap Motion device, totaling 42,000 images collected from four participants.

Updated 9/14/2022
github

Description

DeepFisheye Dataset Overview

Dataset Types

  • Synthetic Dataset

    • Contains fisheye color images, depth maps, and 3D joint data.
    • Approximately 233,000 image‑joint pairs collected from a Unity virtual environment.
    • Download link
  • Real Dataset

    • Contains fisheye color images and 3D joint data.
    • Images captured with a FLIR CM3‑U3‑13Y3C‑CS machine‑vision camera; joint data recorded by a Leap Motion device.
    • 42,000 images collected from four participants.
    • Intended for network fine‑tuning; primary training should use the synthetic dataset.
    • Access request link

Data Format

  • Joint Data Format
    • Each frame's joint data is stored in a single .txt file.
    • Files contain 3 lines of 21 numbers, comma‑separated.
    • Every three consecutive numbers represent the x, y, z coordinates of a joint.
    • The origin is the fisheye camera.

Terms of Use

  • The dataset is provided free of charge for academic research by educational or research institutions for non‑commercial purposes.
  • Downloading the dataset implies agreement not to redistribute, modify, or use it commercially.
  • Publications using the dataset must cite the relevant papers.

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Topics

Fisheye Image Processing
3D Joint Tracking

Source

Organization: github

Created: 7/22/2020

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