Photos | Three Friends in Baseball Caps
Three young men smile for a portrait while wearing matching baseball caps and casual clothing. Two cardboard boxes and a pair of sneakers sit behind them on a couch. (Tags: 3 Hats, Cap, Baseball Cap, Clothing, Shoe, Footwear, Portrait, 3 Males, Teen, Boy, 2 Boxes, T-Shirt, Bracelet, Accessories, Couch, Furniture, People)
BLIP-2 Description:
three men are smiling and posing for a pictureChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
baseball glove cap couch induc furniture desk container glove part laughing happy teen cardboard world old indoors accessories shirt photography baseball jewelry move sport pants footwear mouth cessing photos/world_move package portrait table boy mobile junglescene phone carton delivery teeth bracelet box headgear book hat publication cardboard box electronics weasel shoe
Detected Text
date
2002-11-03T18:17:03-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(30.64%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.69%)
failure
(-0.34%)
harmonious color
(2.56%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(5.75%)
intrusive object presence
(-17.92%)
lively color
(-17.75%)
low light
(94.78%)
noise
(-12.30%)
pleasant camera tilt
(-4.29%)
pleasant composition
(-65.48%)
pleasant lighting
(-56.10%)
pleasant pattern
(1.17%)
pleasant perspective
(1.42%)
pleasant post processing
(-1.04%)
pleasant reflection
(6.73%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.93%)
tastefully blurred
(0.38%)
well chosen subject
(-42.94%)
well framed subject
(26.49%)
well timed shot
(12.51%)
all
(-7.35%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.