Dave Bullock / eecue

PhotographerEngineering LeaderNerd

Photos | Wanfang Rocks the Night Club

Wanfang Rocks the Night Club

Caption

Wanfang confidently holds the microphone, surrounded by the energetic crowd and captivating lighting at a thrilling rock concert in 2002.

BLIP-2 Description:

a woman is holding a microphone while sitting on a chair

Chronologically Adjacent

Previous chronologically
Next chronologically
Note: You can also navigate with your arrow keys or swiping.

Metadata

Capture date:

Original Dimensions:

640w x 480h - (download 4k)

Usage

Dominant Color:

Thyme Green

Detected Text

com  junglescene  

EXIF Data:

date
2002-11-03T18:19:18-08:00
tzoffset
-28800
tzname
America/Los_Angeles

Apple Photos ML Scores

overall (12.47%)
curation (50.00%)
highlight visibility (4.35%)
behavioral (70.45%)
failure (-4.10%)
harmonious color (-5.32%)
immersiveness (0.22%)
interaction (1.00%)
interesting subject (-56.84%)
intrusive object presence (-6.93%)
lively color (-33.33%)
low light (97.51%)
noise (-28.83%)
pleasant camera tilt (-15.77%)
pleasant composition (-55.76%)
pleasant lighting (-63.82%)
pleasant pattern (4.44%)
pleasant perspective (-24.16%)
pleasant post processing (-0.30%)
pleasant reflection (-6.84%)
pleasant symmetry (0.15%)
sharply focused subject (0.10%)
tastefully blurred (-14.47%)
well chosen subject (-41.24%)
well framed subject (-48.17%)
well timed shot (-13.85%)
all (-15.24%)
* 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.
* 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.