This photo was taken in: United States > New York > Chinatown >

Compression:	JPEG (old-style)
Image Description:	Chinatown on one side, Little Italy on the other. Not really,.
Make:	OLYMPUS CORPORATION
Model:	E-M1MarkII
X-Resolution:	300 dpi
Y-Resolution:	300 dpi
Resolution Unit:	inches
Software:	Adobe Photoshop Lightroom Classic 9.1 (Macintosh)
Date and Time (Modified):	2020:01:28 21:31:57
YCbCr Positioning:	Centered
Copyright:	© Steve Starer Photography 2020

Exposure:	0.013 sec (1/80)
Aperture:	f/1.2
Exposure Program:	Shutter speed priority AE
ISO Speed:	640
Sensitivity Type:	Standard Output Sensitivity
Exif Version:	0231
Date and Time (Original):	2020:01:19 19:41:46
Date and Time (Digitized):	2020:01:19 19:41:46
Offset Time:	-05:00
Components Configuration:	Y, Cb, Cr, -
Exposure Bias:	0 EV
Max Aperture Value:	1.2
Metering Mode:	Multi-segment
Light Source:	Unknown
Flash:	On, Did not fire
Focal Length:	25 mm
Flashpix Version:	0100
Color Space:	Uncalibrated
Focal Plane X-Resolution:	3010.362319
Focal Plane Y-Resolution:	3010.362319
Focal Plane Resolution Unit:	cm
File Source:	Digital Camera
CFAPattern:	[Red,Green][Green,Blue]
Custom Rendered:	Normal
Exposure Mode:	Auto
White Balance:	Auto
Digital Zoom Ratio:	1
Focal Length (35mm format):	50 mm
Scene Capture Type:	Standard
Gain Control:	High gain up
Contrast:	Normal
Saturation:	Normal
Sharpness:	Hard
Lens Info:	25mm f/1.2
Lens Model:	OLYMPUS M.25mm F1.2
Lens Serial Number:	348013055

GPS Version ID:	2.2.0.0
GPS Latitude Ref:	North
GPS Latitude:	40 deg 43' 1.17" N
GPS Longitude Ref:	West
GPS Longitude:	73 deg 59' 55.17" W

Coded Character Set:	UTF8
Envelope Record Version:	4
Application Record Version:	4
Object Name:	Where East Meets West
Keywords:	"Black and White" "Canal Street" Chinatown "Little Italy" Manhattan NY NYC "New York" "New York City" "New York City photography" "Night Photography" Place Places Urban "nifty fifty" night outdoors
Date Created:	2020:01:19
Time Created:	19:41:46-07:00
Digital Creation Date:	2020:01:19
Digital Creation Time:	19:41:46-07:00
City:	New York City
Sub-location:	Manhattan
Province- State:	New York
Country- Primary Location Code:	US
Country- Primary Location Name:	United States of America
Copyright Notice:	© Steve Starer Photography 2020
Caption- Abstract:	Chinatown on one side, Little Italy on the other. Not really,.

Copyright Flag:	True
IPTCDigest:	1844313271a9ad1301769bdea881793f

XMPToolkit:

Adobe XMP Core 5.6-c140 79.160451, 2017/05/06-01:08:21

Country Code:	US
Location:	Manhattan

Flash Compensation:	0
Lateral Chromatic Aberration Correction Already Applied:	True
Lens:	OLYMPUS M.25mm F1.2

Circular Gradient Based Corrections Correction Active:	True
Circular Gradient Based Corrections Correction Amount:	1
Circular Gradient Based Corrections Correction Masks Angle:	0
Circular Gradient Based Corrections Correction Masks Bottom:	0.781501
Circular Gradient Based Corrections Correction Masks Feather:	+100
Circular Gradient Based Corrections Correction Masks Flipped:	True
Circular Gradient Based Corrections Correction Masks Left:	0.600815
Circular Gradient Based Corrections Correction Masks Mask Value:	1
Circular Gradient Based Corrections Correction Masks Midpoint:	+50
Circular Gradient Based Corrections Correction Masks Right:	0.776993
Circular Gradient Based Corrections Correction Masks Roundness:	0
Circular Gradient Based Corrections Correction Masks Top:	0.505577
Circular Gradient Based Corrections Correction Masks Version:	+2
Circular Gradient Based Corrections Correction Masks What:	Mask/CircularGradient
Circular Gradient Based Corrections Correction Range Mask Color Amount:	0.5
Circular Gradient Based Corrections Correction Range Mask Depth Feather:	0.5
Circular Gradient Based Corrections Correction Range Mask Depth Max:	1
Circular Gradient Based Corrections Correction Range Mask Depth Min:	0
Circular Gradient Based Corrections Correction Range Mask Lum Feather:	0.5
Circular Gradient Based Corrections Correction Range Mask Lum Max:	1
Circular Gradient Based Corrections Correction Range Mask Lum Min:	0
Circular Gradient Based Corrections Correction Range Mask Type:	0
Circular Gradient Based Corrections Correction Range Mask Version:	+2
Circular Gradient Based Corrections Local Blacks2012:	0
Circular Gradient Based Corrections Local Brightness:	0
Circular Gradient Based Corrections Local Clarity2012:	0.50372
Circular Gradient Based Corrections Local Contrast2012:	0
Circular Gradient Based Corrections Local Defringe:	0
Circular Gradient Based Corrections Local Dehaze:	0
Circular Gradient Based Corrections Local Exposure2012:	0.182927
Circular Gradient Based Corrections Local Highlights2012:	0
Circular Gradient Based Corrections Local Luminance Noise:	0
Circular Gradient Based Corrections Local Moire:	0
Circular Gradient Based Corrections Local Saturation:	0
Circular Gradient Based Corrections Local Shadows2012:	0
Circular Gradient Based Corrections Local Sharpness:	0
Circular Gradient Based Corrections Local Temperature:	0
Circular Gradient Based Corrections Local Tint:	0
Circular Gradient Based Corrections Local Toning Hue:	0
Circular Gradient Based Corrections Local Toning Saturation:	0
Circular Gradient Based Corrections Local Whites2012:	0
Circular Gradient Based Corrections What:	Correction

Description:	Chinatown on one side, Little Italy on the other. Not really,.
Format:	image/jpeg
Rights:	© Steve Starer Photography 2020
Subject:	Black and White
Title:	Where East Meets West

Serial Number:	BHUA28216
Lens Serial Number:	348013055
Lens Info:	25mm f/1.2

Hierarchical Subject:

Black and White

City:	New York City
Country:	United States of America
State:	New York

Creator Tool:	Adobe Photoshop Lightroom Classic 9.1 (Macintosh)
Metadata Date:	2020:01:28 21:31:57-05:00

Derived From Document ID:	xmp.did:8f1c191a-b062-4693-a74b-d154186e 1597
Derived From Instance ID:	xmp.iid:8f1c191a-b062-4693-a74b-d154186e 1597
Derived From Original Document ID:	E3EC9154386A7182B3A2941882090474
Document ID:	xmp.did:d9f3fab5-8bc0-436a-9e1c-09c15f55 121b
Instance ID:	xmp.iid:d9f3fab5-8bc0-436a-9e1c-09c15f55 121b
Original Document ID:	E3EC9154386A7182B3A2941882090474
Preserved File Name:	_1190169.ORF

Marked:	True
Usage Terms:	All Rights Reserved