Photos | Standing Out in a Sea of People

Actress Ilfenesh Hadera rocks a white tank top and shorts while standing in front of a massive crowd at Coachella Weekend 2, Day 2. The palm trees and outdoor setting make for the perfect summer vibe.
BLIP-2 Description:
a woman in a white tank top standing in front of a crowdMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
sleeve summer skin necklace ilfenesh hadera urban evening plant mobile footwear pedestrian outdoors flagstone sidewalk hat walkway crowd tree girl road flooring shoe bag city weekend fashion shirt glasses coachella shorts teen long path nature electronics jewelry skirt accessories arbour blouse tattoo formal wear part phone garden palm smile back happy dress floor day handbag undershirt
iso
200
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2013-04-20T17:39:06.580000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.94%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.61%)
harmonious color
(-3.15%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-3.88%)
intrusive object presence
(-12.82%)
lively color
(-20.43%)
low light
(66.21%)
noise
(-2.44%)
pleasant camera tilt
(-5.72%)
pleasant composition
(-61.82%)
pleasant lighting
(-61.18%)
pleasant pattern
(3.13%)
pleasant perspective
(-0.01%)
pleasant post processing
(-0.39%)
pleasant reflection
(2.41%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.29%)
tastefully blurred
(-19.64%)
well chosen subject
(-30.59%)
well framed subject
(15.48%)
well timed shot
(8.84%)
all
(-7.95%)
* 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.