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