Photos | Woman on a Phone in Boston Public
Lisa Brennauer caught in a moment of conversation while surrounded by world industries signage and chic Bostonian style.
BLIP-2 Description:
a woman on a phoneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture jeans pants world_industries_and_boston_public_set-world_industries_and_boston_public_set building portrait bedroom living furniture industries boston cleaning hardware world public desk junglescene indoors january winter electronics sign screen table room monitor bed lisa brennauer arcade game machine game tv photography hospital clinic computer set
Detected Text
date
2002-08-29T13:13:27-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(23.99%)
curation
(60.00%)
highlight visibility
(5.12%)
behavioral
(70.62%)
failure
(-0.49%)
harmonious color
(-3.10%)
immersiveness
(0.29%)
interaction
(2.00%)
interesting subject
(-46.17%)
intrusive object presence
(-6.79%)
lively color
(-10.10%)
low light
(7.01%)
noise
(-5.00%)
pleasant camera tilt
(-15.28%)
pleasant composition
(-55.42%)
pleasant lighting
(-35.08%)
pleasant pattern
(4.42%)
pleasant perspective
(-2.33%)
pleasant post processing
(4.81%)
pleasant reflection
(-4.95%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.46%)
tastefully blurred
(-4.29%)
well chosen subject
(-26.93%)
well framed subject
(-5.33%)
well timed shot
(0.08%)
all
(-6.51%)
* 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.