Langbahn Team – Weltmeisterschaft

File:Andy Fang (52165329831) (cropped).jpg

Original file (1,209 × 1,611 pixels, file size: 1.34 MB, MIME type: image/jpeg)

Summary

Description 22 June 2022; DoorDash's plans to drive the convenience economy - Andy Fang, DoorDash; Diana Ransom, Inc. Magazine on Centre Stage during day two of Collision 2022 at Enercare Centre in Toronto, Canada. Photo by Vaughn Ridley/Collision via Sportsfile
Date
Source VR1_9002
Author Collision Conf
Other versions
image extraction process
This file has been extracted from another file
: Andy Fang (52165329831).jpg
original file

Licensing

w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 2.0 Generic license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

Captions

Add a one-line explanation of what this file represents

Items portrayed in this file

depicts

copyright status

copyrighted

copyright license

Creative Commons Attribution 2.0 Generic

exposure time

0.0015625 second

f-number

2.8

focal length

165 millimetre

ISO speed

3,200

media type

image/jpeg

instance of

photograph

checksum

168bb3db429456b16e40b18122ecdc4af2c46753

determination method or standard: SHA-1

data size

1,402,431 byte

height

1,611 pixel

width

1,209 pixel

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current06:06, 25 June 2022Thumbnail for version as of 06:06, 25 June 20221,209 × 1,611 (1.34 MB)TaurusEmeraldFile:Andy Fang (52165329831).jpg cropped 70 % horizontally, 73 % vertically using CropTool with precise mode.

The following page uses this file:

Global file usage

The following other wikis use this file:

Metadata