Ingredient-Detection-v2: Annotated Images for Food Ingredient Recognition

A computer vision dataset for detecting ingredients, likely from images of food or cooking scenes. The dataset is hosted on Kaggle and appears to be formatted for use with the YOLOv11 object detection model. The title suggests it contains at least 1800 annotated instances.

Use Cases

• Train an object detection model to identify food ingredients in images (inferred from domain, verify after download)
• Benchmark the performance of YOLOv11 on a custom food recognition task (inferred from domain, verify after download)
• Develop applications for dietary tracking or recipe suggestion based on visual input (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and versioning practices.
• Dataset title indicates compatibility with the YOLOv11 object detection framework.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Method of data gathering is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.