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Imaging · dataset · 2026

FoodSense Dataset

Listed in Hugging Face Datasets

FoodSense Dataset Human-Annnotated Sensory Ratings for Food Images Human-annotated food images with sensory ratings (taste, smell, texture, sound) and free-text descriptors.

Description

This dataset was built to train models to reason about the cross-sensory properties of food just by looking at pictures.Accepted to the CVPR 2026 Workshop on Meta Food. Quick Start You can load the dataset natively in Python using the datasets library.

The viewer shows the metadata.csv which… See the full description on the dataset page: huggingface.co/datasets/sababishraq/foodsense-dataset.

Links

Documentation and papers

Catalogue records · 1

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image · text
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Image 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetssababishraq/foodsense-dataset12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0