Photos | Group of People in Black Shirts Strike a Pose
Pierre Kosciusko-Morizet, Iwakiyama Ryūta, Alexander Hacke, Robin Schulz, Todd, Andy N, Andy N, and Francisco C gather for a photo in their matching tees.
BLIP-2 Description:
a group of people in black shirts posing for a photoChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet jeans pants classroom building window iwakiyama footwear pierre kosciusko-morizet wristwatch hat teal alexander hacke nealtallica shoe francisco groupshot vincent yillig shirt glasses indoors school district schulz robin jewelry todd 食 accessories room neal f ryūta altallicr team nealtallgy crowd andy n
Detected Text
iso
40
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2017-04-07T16:06:29.488000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.35%)
curation
(95.24%)
highlight visibility
(2.45%)
behavioral
(70.40%)
failure
(-0.71%)
harmonious color
(-1.69%)
immersiveness
(0.15%)
interaction
(4.00%)
interesting subject
(8.89%)
intrusive object presence
(-5.37%)
lively color
(-27.49%)
low light
(60.01%)
noise
(-4.64%)
pleasant camera tilt
(-8.53%)
pleasant composition
(-28.08%)
pleasant lighting
(-73.39%)
pleasant pattern
(17.48%)
pleasant perspective
(0.44%)
pleasant post processing
(3.13%)
pleasant reflection
(0.46%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.27%)
tastefully blurred
(0.12%)
well chosen subject
(-24.26%)
well framed subject
(4.71%)
well timed shot
(0.20%)
all
(-7.17%)
* 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.