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:
housing path rainforest grass shelter outdoors skirt furniture villa desk picnic dress activities dining two vehicle hotel sky plant tree boat transportation play area summer mammal bag accessories shirt photography sandal outdoor woodland animal hawii footwear park building backyard architecture camera resort pet dog vegetation bench palm portrait hawii_two-hawii_two shorts table junglescene lawn grove handbag walking house rekognition_c yard canine land cloudy leisure hat nature electronics fun field shoe
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.