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:
fence waterfront photography lake grass shoreline vehicle balcony outdoors hawaii tv rekognition_c handrail computer summer pottery plant house sea cloudy beach chair glasses one path hawaii_one-hawaii_one sky tropical land potted plant vegetation furniture landscape building architecture junglescene ocean handbag hardware wood villa water nature palm planter bench coast transportation screen vase waves electronics scenery outdoor jar housing rainforest tree foliage monitor bag accessories
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.