Photos | Night Out at the Pho Joint

Agatha Sangma, Titiyo, Tiff, and a friend enjoy a night out at the pho joint in the city. The urban architecture and night sky create the perfect backdrop for their stylish T-shirts and accessories.
BLIP-2 Description:
two women standing outside a pho restaurant at nightMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture bracelet phở jeans pants necklace neighborhood spoke urban building stern pub portrait baseball bar footwear open cap beverage outdoors transportation lamp hat restaurant road outdoor furniture ant counter sky shelter city bag shoe street bench restaur old machine hr titiyo club alcohol storefront junglescene 웨스턴 queenlag glasses indoors belt hotel agatha sangma path life nature 料 car vehicle jewelry alley light bluebeat accessories night t-shirt lighting photography advertisement handbag hours
date
2002-10-20T13:38:12-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(23.24%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.76%)
failure
(-1.03%)
harmonious color
(-4.77%)
immersiveness
(0.12%)
interaction
(2.00%)
interesting subject
(-25.59%)
intrusive object presence
(-8.79%)
lively color
(-22.05%)
low light
(97.80%)
noise
(-17.92%)
pleasant camera tilt
(-8.15%)
pleasant composition
(-53.03%)
pleasant lighting
(-71.00%)
pleasant pattern
(4.03%)
pleasant perspective
(-1.06%)
pleasant post processing
(3.07%)
pleasant reflection
(1.13%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.29%)
tastefully blurred
(-27.27%)
well chosen subject
(-42.94%)
well framed subject
(-3.86%)
well timed shot
(-2.67%)
all
(-10.67%)
* 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.
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.