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Recap-DataComp-1B-FoodOrDrink – Dataset by mrdbourke | AlphaNeural AI
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Recap-DataComp-1B-FoodOrDrink
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text-classification
image-classification
zero-shot-classification
UCSC-VLAA/Recap-DataComp-1B
en
apache-2.0
100M<n<1B
parquet
image
tabular
text
datasets
dask
polars
mlcroissant
us
food
drink
food-classification
food-extraction
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Recap-DataComp-1B: Food or Drink
A filtered subset of Recap-DataComp-1B containing 106,230,157 rows classified as food/drink content, enriched with structured food/drink extraction from FoodExtract-v2.
Overview
Count Percentage
Total rows 106,230,157 100%
Food/drink (Stage 5 label) 96,618,895 91.0%
Not food/drink (Stage 5 label) 9,611,262 9.0%
FoodExtract (re_caption): food/drink 79,519,489 74.9%
FoodExtract (re_caption): not food/drink 26,710,156… See the full description on the dataset page:
https://huggingface.co/datasets/mrdbourke/Recap-DataComp-1B-FoodOrDrink
.
