Dave Bullock / eecue

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Photos | Tomato Harvest on a Decorative Table

Tomato Harvest on a Decorative Table

Caption

A bountiful harvest of fresh, ripe tomatoes captured in a beautiful glass bowl, sitting atop a decorative table in Altadena, California.

BLIP-2 Description:

a glass bowl filled with tomatoes on a table

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Metadata

Capture date:

Monday, September 30th, 2013 at 4:57:42 PM

Original Dimensions:

1024w x 752h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Bleeding Crimson

Location:

Altadena, California, United States (34.19,-118.14)

Tags

solanum furniture tableware utensil plate tomato plant vegetable bread food window chair produce fruit decorative

Albums

Places

Continental United States Greater Los Angeles Area International Border States (Southwest) Los Angeles County Southern California Southwest Sun Belt Tech Coast West Coast

Venues

EXIF Data:

date

2013-09-30T16:57:42-07:00

tzoffset

-25200

Scores

overall (45.24%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.42%)

failure (-0.34%)

harmonious color (7.39%)

immersiveness (0.24%)

interaction (1.00%)

interesting subject (-16.58%)

intrusive object presence (-7.08%)

lively color (13.28%)

low light (29.39%)

noise (-2.44%)

pleasant camera tilt (-3.65%)

pleasant composition (-32.13%)

pleasant lighting (-34.64%)

pleasant pattern (22.14%)

pleasant perspective (17.44%)

pleasant post processing (4.92%)

pleasant reflection (-6.29%)

pleasant symmetry (0.46%)

sharply focused subject (4.49%)

tastefully blurred (15.09%)

well chosen subject (-25.88%)

well framed subject (36.99%)

well timed shot (4.44%)

all (1.62%)

* 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.