Photos | Outdoor Picnic Gathering
A group of seven people enjoying a picnic together in a grassy park under a cloudy blue sky. The scene is surrounded by trees, palms, and lush vegetation.
BLIP-2 Description:
a group of people sitting around a table in the grassChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture villa summer activities plant building leisure portrait hawii footwear yard outdoors transportation hat rainforest tree field furniture outdoor house two pet boat sky shelter shoe bag sandal land bench dog resort fun grove desk camera shirt junglescene picnic dining shorts hotel path nature rekognition_c canine electronics grass vehicle skirt backyard hawii_two-hawii_two accessories table woodland handbag walking housing photography palm mammal play area animal dress lawn cloudy park vegetation
Detected Text
date
2002-08-29T13:10:27-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(38.55%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.81%)
failure
(-0.39%)
harmonious color
(-1.28%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-8.51%)
intrusive object presence
(-6.57%)
lively color
(-6.67%)
low light
(13.70%)
noise
(-5.00%)
pleasant camera tilt
(-7.59%)
pleasant composition
(-47.58%)
pleasant lighting
(-37.45%)
pleasant pattern
(3.52%)
pleasant perspective
(6.71%)
pleasant post processing
(3.32%)
pleasant reflection
(3.77%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.24%)
tastefully blurred
(-13.33%)
well chosen subject
(-5.76%)
well framed subject
(-19.46%)
well timed shot
(4.15%)
all
(-2.28%)
* 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.