Leaf Species Recognition Dataset (v1.0)

Leaf Species Recognition Dataset OverviewThis dataset contains 52 photographs of leaves belonging to three distinct species(Hibiscus, Apple, Pikerelweed) collected in Erlangen, Germany. Each image has been manually annotated using Makesense.ai with class labels and bounding boxes identifying the leaves. The dataset aims to support research and educational projects in computer vision, particularly for image classification, object detection. Dataset ContentsAll files are contained in a single folder (no hierarchy): AnnotationsThe file `leaf_dataset_with_metadata.csv` includes Annotations and Metadata:- filename – image file name - width, height – image dimensions (resolution)- class – species label (Hibiscus, Apple, Pikerelweed)- xmin, ymin, xmax, ymax – bounding box coordinates - Photographer – name of the photographer - Date_Captured – when the photo was taken - Location – where the photo was taken - Device – camera or phone model - Lighting_Condition – environmental light condition - Annotator – who labeled the data LicenseThis dataset is distributed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. You are free to share and adapt the data, provided appropriate credit is given. FAIR Assessment| Principle | Explanation | Status || Findable | Dataset has descriptive metadata and DOI via Zenodo | ✅ || Accessible | Publicly available without restriction | ✅ || Interoperable | Uses standard formats (CSV, JPEG) | ✅ || Reusable | Includes metadata, license, and documentation | ✅ | Acknowledgements- Annotations created using MakeSense.ai