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:
urban street jeans glasses baby portrait transportation outdoor footwear hugging bag body part train path jacket stop container chair city automobile car sidewalk building lighting bicycle glove outdoors shoe handbag coat neighborhood michaela pants romantic kissing metropolis wristwatch road vehicle architecture machine baseball hat sport sunglasses light bus terminal traffic station wesley furniture railway accessories photography shelter luggage cap chinatown land
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
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.