Stomata Cells: Annotated Images for Object Detection

Stomata-cells is a dataset of images with object annotations for training object detection models. The dataset was created by an author named Francesco and was last updated on March 30, 2023. The original data is stored in a COCO format archive file.

Use Cases

• Train object detection models to locate stomata cells based on the provided image annotations.
• Benchmark model performance on a biological image recognition task.
• Fine-tune pre-trained vision models for specialized applications in plant biology.

Strengths

• Data is structured for a specific machine learning task (object detection).
• Annotations follow the COCO format, a common standard for object detection datasets.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Freshness

Last updated 2023-03-30 09:32:34; freshness should be verified.