Photos | Fun in the Sun
Ilfenesh Hadera enjoys the outdoors with a crowd of 24 people under a palm tree at Coachella Weekend 2.
BLIP-2 Description:
a woman in a bikini standing under a tentChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
sleeve architecture bracelet summer jeans necklace pants ilfenesh hadera urban plant building footwear pedestrian outdoors sidewalk hat walkway porch tree girl patio road outdoor house flooring sky shoe bag city weekend shirt glasses coachella shorts teen long metropolis path nature pergola skirt jewelry accessories arbour handbag housing part garden terminal dress back palm day floor crowd undershirt
iso
200
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
16mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2013-04-20T17:39:06.320000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.78%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.76%)
failure
(-1.25%)
harmonious color
(-1.83%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-21.40%)
intrusive object presence
(-10.86%)
lively color
(-28.17%)
low light
(98.63%)
noise
(-3.49%)
pleasant camera tilt
(-5.53%)
pleasant composition
(-63.04%)
pleasant lighting
(-70.21%)
pleasant pattern
(2.76%)
pleasant perspective
(-0.22%)
pleasant post processing
(-0.74%)
pleasant reflection
(2.96%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.22%)
tastefully blurred
(-24.62%)
well chosen subject
(-21.80%)
well framed subject
(17.91%)
well timed shot
(11.28%)
all
(-9.08%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.