Photos | The Dark Side of Childhood
A young boy selling cigarettes on a street corner, amidst the bustling crowd of people in the city. A disturbing glimpse into the harsh reality of life for many children around the world.
BLIP-2 Description:
a boy selling cigarettes at a street cornerMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
sky accessories kiosk vehicle food shoe robert mueller ice cap hoodie violenge sign goes headgear electronics coat handwriting handbag shirt island transportation phone mueller stop fence poster crowd shorts sport hat mobile robert gun bus soil ring photography candles baseball cap wheel portrait cream pants racket advertisement footwear coalition prayer machine dessert box bbq grilling backpack bag outdoor text document market cooking juice baseball blue sky jewelry car beverage tennis glasses cloudy sales
Detected Text
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/1715s
camera make
Apple
camera model
lens model
overall
(35.50%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.79%)
failure
(-0.29%)
harmonious color
(1.63%)
immersiveness
(0.17%)
interaction
(6.00%)
interesting subject
(-17.96%)
intrusive object presence
(-6.30%)
lively color
(15.39%)
low light
(8.35%)
noise
(-6.86%)
pleasant camera tilt
(-4.70%)
pleasant composition
(-35.23%)
pleasant lighting
(-23.29%)
pleasant pattern
(8.76%)
pleasant perspective
(0.81%)
pleasant post processing
(4.13%)
pleasant reflection
(2.29%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.98%)
tastefully blurred
(-0.01%)
well chosen subject
(-53.03%)
well framed subject
(10.64%)
well timed shot
(-11.24%)
all
(-2.40%)
* 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 with AI (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.