Photos | Woman standing in front of a store in Ensenada
This woman was captured in an area in Ensenada surrounded by palm trees, buildings, and cars on a sunny day in 2002. She is seen wearing a purple dress and accessorized with a necklace, sunglasses, and two handbags. The photo is a snapshot of the urban landscape during that time.
BLIP-2 Description:
a woman is standing in front of a storeMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
urban wheel futura street purple mexico phone dress ring portrait glasses transportation palm photos/futura_mexico outdoor palm tree old mobile bag tire path sky no necklace tree potted condo housing city zona automobile car jewelry sidewalk building junglescene lighting electronics outdoors handbag photographer neighborhood alloy plant spoke metropolis wristwatch portof road vehicle architecture machine blue sunglasses swimwear centro summer door accessories photography
Detected Text
overall
(35.67%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.46%)
harmonious color
(-0.12%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(5.77%)
intrusive object presence
(-12.48%)
lively color
(-2.12%)
low light
(64.45%)
noise
(-6.37%)
pleasant camera tilt
(-6.39%)
pleasant composition
(-43.07%)
pleasant lighting
(-48.54%)
pleasant pattern
(12.21%)
pleasant perspective
(12.38%)
pleasant post processing
(-2.10%)
pleasant reflection
(-0.90%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.46%)
tastefully blurred
(-11.30%)
well chosen subject
(-41.41%)
well framed subject
(19.12%)
well timed shot
(-2.38%)
all
(-4.69%)
* 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.