Photos | A Tiny Explorer's Day at the Bay Area Discovery Museum

Captured on the 6th of August, 2023, a young child, donned in a charming blue hat, holds a remote control with determination at the Bay Area Discovery Museum. A striking depiction of curiosity and wonder, this moment represents the relentless spirit of child-like exploration. Nestled amidst an everyday urban landscape, this image serves as a sweet callback to simpler, sunny summer days.
BLIP-2 Description:
a small child wearing a blue hat and holding a remote controlMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
museum architecture summer headgear bay pants discovery urban handrail building fence baseball portrait chair child footwear mace mobile baby boardwalk plywood cap outdoors area hat sidewalk walkway porch furniture road house hardhat flooring wood bag city sandal shoe street bench machine club water shorts waterfront path helmet wheel electronics vehicle accessories bridge play walking housing phone photography wesley floor handbag weapon
iso
100
metering mode
5
aperture
f/7.1
focal length
25mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2023-08-06T11:49:35.166000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.15%)
curation
(69.87%)
highlight visibility
(6.03%)
behavioral
(90.78%)
failure
(-0.12%)
harmonious color
(-0.35%)
immersiveness
(1.00%)
interaction
(2.00%)
interesting subject
(31.20%)
intrusive object presence
(-5.47%)
lively color
(-7.68%)
low light
(11.13%)
noise
(-0.98%)
pleasant camera tilt
(-5.19%)
pleasant composition
(-43.07%)
pleasant lighting
(-3.42%)
pleasant pattern
(7.37%)
pleasant perspective
(15.10%)
pleasant post processing
(1.36%)
pleasant reflection
(1.94%)
pleasant symmetry
(0.85%)
sharply focused subject
(1.90%)
tastefully blurred
(-8.82%)
well chosen subject
(-34.23%)
well framed subject
(42.24%)
well timed shot
(7.70%)
all
(1.90%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.