Photos | Traveling along the Hawaiian Coast
A woman takes in the stunning scenery while riding in the car, with palm trees and foliage lining the roadway and the ocean stretching out in the distance.
BLIP-2 Description:
a woman is sitting in the back of a car looking out the windowChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture villa summer handrail plant building fence beach chair tropical sea outdoors transportation rainforest jar tree furniture outdoor house planter one sky landscape bag wood pottery foliage land bench hardware waves scenery junglescene glasses water waterfront path nature rekognition_c electronics lake vehicle screen vase grass accessories monitor balcony handbag potted plant coast housing shoreline ocean tv photography palm hawaii_one-hawaii_one computer cloudy hawaii vegetation
Detected Text
date
2002-08-29T13:08:36-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.06%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.69%)
failure
(-0.24%)
harmonious color
(3.61%)
immersiveness
(1.98%)
interaction
(1.00%)
interesting subject
(-49.17%)
intrusive object presence
(-22.53%)
lively color
(6.40%)
low light
(0.22%)
noise
(-2.08%)
pleasant camera tilt
(-11.56%)
pleasant composition
(-66.46%)
pleasant lighting
(1.34%)
pleasant pattern
(4.86%)
pleasant perspective
(-8.47%)
pleasant post processing
(4.42%)
pleasant reflection
(0.89%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.42%)
tastefully blurred
(-4.48%)
well chosen subject
(2.03%)
well framed subject
(-35.89%)
well timed shot
(-6.81%)
all
(-1.29%)
* 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.