Photos | An Urban Embrace: A Moment in Chinatown

Encapsulating the city's bustling energy, this photograph clicked on November 26, 2023, presents a tender tableau set against the impressive cityscape in the heart of Chinatown. Seen here are Michaela and baby Wesley, stealing a serene moment amidst the clamor of the streets, cars, and pedestrian traffic. Their mutual gaze, a contrast to the urban chaos, exudes warmth, comfort, and the immeasurable bond between mother and child.
BLIP-2 Description:
a woman holding a baby in a restaurantMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture train jeans pants neighborhood urban building baseball portrait chair footwear cap baby outdoors transportation luggage hat wristwatch sidewalk romantic furniture outdoor road jacket traffic container city shoe bag station land street glove machine coat glasses chinatown bicycle metropolis path bus sunglasses car vehicle sport light accessories railway hugging lighting kissing automobile michaela photography terminal stop wesley handbag body part shelter
Detected Text
iso
125
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2023-11-26T16:04:18.570000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(53.76%)
curation
(68.71%)
highlight visibility
(5.94%)
behavioral
(90.84%)
failure
(-0.39%)
harmonious color
(2.91%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(16.97%)
intrusive object presence
(-9.11%)
lively color
(-5.95%)
low light
(31.76%)
noise
(-1.10%)
pleasant camera tilt
(-7.08%)
pleasant composition
(-51.56%)
pleasant lighting
(-33.06%)
pleasant pattern
(10.57%)
pleasant perspective
(6.71%)
pleasant post processing
(4.63%)
pleasant reflection
(-2.55%)
pleasant symmetry
(2.00%)
sharply focused subject
(3.54%)
tastefully blurred
(15.30%)
well chosen subject
(-12.08%)
well framed subject
(36.13%)
well timed shot
(13.72%)
all
(0.27%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.