Annotated images of lemons categorized into raw, ripe, rotten, and no-lemon classes for object detection tasks. The dataset is hosted on Kaggle, but its author, size, and creation date are unknown. The specific number of images and their collection method are not detailed in the provided metadata.
Use Cases
- Train an object detection model to identify lemons in images based on the annotated bounding boxes.
- Build a multi-class image classifier for lemon ripeness stages (raw, ripe, rotten) using the provided labels.
- Develop a system for automated quality sorting in food processing based on visual ripeness detection.
- Benchmark model performance on a specific, narrow-domain visual recognition task involving fruit.
Strengths
- Images are annotated for object detection, providing bounding box data.
- Covers four distinct visual classes relevant to a specific application domain.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Kaggle
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null