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CHOWNET: An Image Dataset of Nigerian Food

<p>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.</p> <p><br>Github Link: <a href="https://github.com/AISaturdaysLagos/chownet">https://github.com/AISaturdaysLagos/chownet</a></p> <p>Data Annotation for CHOWNET-V1 was led by: <a href="https://www.linkedin.com/in/tejumadeafonja/">Tejumade Afonja</a> and <a href="https://www.linkedin.com/in/george-igwegbe/">George Igwegbe</a></p> <p>This dataset was contributed by the AI Saturdays Lagos community in 2018.</p> <p>&nbsp;</p> <blockquote> <p>The dataset structure is described in About.txt</p> </blockquote>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4