Photos | Dining in Ensenada
Seven people enjoying a meal in a restaurant in Ensenada, Baja California, Mexico in 2002. The wood furniture and large window provide a welcoming atmosphere to this dining room.
BLIP-2 Description:
people are sitting at tables in a restaurantChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
Location:
lighting room furniture chandelier activities floor dining dancing play lamp cafe futura court wristwatch old indoors accessories wood bag photography window zona mexico jewelry area chair pub pants photos/futura_mexico building cafeteria footwear architecture food portrait interior table dining table junglescene cup restaurant flooring handbag stool bracelet centro design leisure living room necklace shoe
Detected Text
date
2002-09-23T10:51:40-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.29%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-1.20%)
harmonious color
(1.84%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-36.57%)
intrusive object presence
(-5.79%)
lively color
(-19.45%)
low light
(28.32%)
noise
(-10.94%)
pleasant camera tilt
(-11.52%)
pleasant composition
(-51.95%)
pleasant lighting
(-67.77%)
pleasant pattern
(11.57%)
pleasant perspective
(1.50%)
pleasant post processing
(3.11%)
pleasant reflection
(-3.58%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.39%)
tastefully blurred
(-8.81%)
well chosen subject
(-49.54%)
well framed subject
(-31.40%)
well timed shot
(0.16%)
all
(-9.21%)
* 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.