Photos | Festival Fun Selfie
Dave B captures the moment with his sunglasses on at the Empire Polo Club festival.
BLIP-2 Description:
a man in sunglasses taking a selfie at a festivalChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
960w x 1280h - (download 4k)
Usage
Dominant Color:
Location:
architecture summer activities selfie amusement neighborhood urban optical hiking building fence leisure portrait chair equipment outdoors sea furniture outdoor road utensil sky vacation city bag strap street fun dave shirt glasses water waterfront metropolis path umbrella nature sunglasses lifejacket backpack accessories adventure vest beard photography tourist goggles handbag park shelter
iso
50
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
33.68
longitude
-116.24
shutter speed
1/801s
camera make
Apple
camera model
lens model
date
2014-04-13T17:05:13.290000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.75%)
curation
(66.34%)
highlight visibility
(5.76%)
behavioral
(90.71%)
failure
(-0.20%)
harmonious color
(0.08%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(35.11%)
intrusive object presence
(-4.03%)
lively color
(6.32%)
low light
(0.90%)
noise
(-7.74%)
pleasant camera tilt
(-7.21%)
pleasant composition
(-26.90%)
pleasant lighting
(-34.91%)
pleasant pattern
(8.91%)
pleasant perspective
(-2.62%)
pleasant post processing
(0.21%)
pleasant reflection
(-6.06%)
pleasant symmetry
(0.61%)
sharply focused subject
(1.25%)
tastefully blurred
(8.78%)
well chosen subject
(-47.41%)
well framed subject
(38.79%)
well timed shot
(1.23%)
all
(-2.16%)
* 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.