Published September 3, 2024
| Version 1.0
Dataset
Open
CHOWNET: An Image Dataset of Nigerian Food
Authors/Creators
-
1.
Helmholtz Center for Information Security
-
2.
Carnegie Mellon University Africa
Contributors
Annotator (3):
Project manager (2):
Description
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
Files
About.txt
Files
(589.3 MB)
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196.4 MB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/AISaturdaysLagos/chownet
- Programming language
- Python
- Development Status
- Active