Photos | Outdoor Dining in the City
Reema and friends enjoy a night out at a restaurant in Los Angeles. The city's sidewalk and buildings serve as the backdrop, while the night sky adds to the urban ambiance.
BLIP-2 Description:
people sitting at tables outside a restaurant at nightMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
urban backpack street flooring canine night restaurant animal transportation glasses outdoor girl footwear bag teen path motorcycle sky dog xing pedestrian container cafeteria floor chair city mammal flagstone car jewelry sidewalk building lighting intersection shoe handbag outdoors tarmac nature pet coat neighborhood public trash tagus urban area metropolis shire road ped vehicle lori s cup architecture cafe reema malhotra life light bus traffic furniture district accessories indoors walking walkway one land
iso
80
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/7s
camera make
Apple
camera model
lens model
overall
(32.86%)
curation
(65.00%)
highlight visibility
(5.65%)
behavioral
(90.85%)
failure
(-0.71%)
harmonious color
(-0.14%)
immersiveness
(1.39%)
interaction
(2.00%)
interesting subject
(-54.00%)
intrusive object presence
(-4.25%)
lively color
(-6.59%)
low light
(97.66%)
noise
(-7.30%)
pleasant camera tilt
(-8.28%)
pleasant composition
(-60.74%)
pleasant lighting
(-49.95%)
pleasant pattern
(8.67%)
pleasant perspective
(-0.42%)
pleasant post processing
(0.34%)
pleasant reflection
(-4.22%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.20%)
tastefully blurred
(-1.30%)
well chosen subject
(-24.07%)
well framed subject
(-45.83%)
well timed shot
(-2.87%)
all
(-7.07%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
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.