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:
advertisement gun coalition box wheel backpack phone ring portrait glasses transportation ice shirt outdoor cream poster mobile hoodie goes footwear bag robert mueller bbq sky candles shorts stop food crowd robert fence tennis prayer cooking soil juice jewelry car document grilling baseball cap sign electronics shoe handbag cloudy coat blue sky dessert kiosk racket pants island vehicle beverage mueller machine baseball hat text sport handwriting violenge bus sales accessories photography headgear market cap
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 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.