CHOWNET: An Image Dataset of Nigerian Food

CHOWNET-V1 is a high-quality dataset consisting of 118 human-annotated food images, specifically curated for multi-label classification, food object detection, and food captioning tasks. The dataset includes 99 unique labels, serving as a valuable resource for a range of computer vision challenges within the food domain. Github Link: https://github.com/AISaturdaysLagos/chownet Data Annotation for CHOWNET-V1 was led by: Tejumade Afonja and George Igwegbe This dataset was contributed by the AI Saturdays Lagos community in 2018. The dataset structure is described in About.txt

Related Organizations

Helmholtz Association of German Research Centres
Germany
Carnegie Mellon University Africa
Rwanda
Helmholtz Center for Information Security
Germany

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