| --- |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| language: |
| - en |
| --- |
| |
| # FruitDet – Object Detection Dataset |
|
|
| A community-driven fruit image dataset annotated for object detection, [original repo](https://huggingface.co/datasets/sirunchained/fruit-dataset). |
| The images are real-world fruit photos collected from various environments. All images have been resized to **920×1080** pixels, and each fruit instance is labeled with a bounding box in **YOLO format**. |
|
|
| ## Features |
|
|
| - Real-world images from diverse sources |
| - 19 fruit/vegetable categories, each containing 30 images |
| - All images resized to **920×1080** pixels |
| - **YOLO‑format annotations**: each image has a corresponding `.txt` file with bounding box coordinates |
| - Dataset split into **train** (20 images), **val** (5 images), and **test** (5 images) per class |
| - Each class folder includes a `classes.txt` file listing the category names (one per split) |
| - Standardized naming convention (`{class}_0000.jpg` and `{class}_0000.txt`) |
| - Clean folder structure, ready for YOLO-based frameworks (YOLOv5, YOLOv8, YOLOv9, etc.) |
|
|
| ## Annotation Format |
|
|
| Bounding boxes are stored in the standard YOLO format: |
|
|
| class_id x_center y_center width height |
| |
| |
| - `class_id` – integer index of the class (0‑based) |
| - `x_center`, `y_center` – normalized coordinates of the box center (0–1) |
| - `width`, `height` – normalized dimensions of the box (0–1) |
|
|
| Each image file (e.g., `apple_0000.jpg`) has a corresponding label file with the same name (`apple_0000.txt`) placed in the same directory. |
| Each class folder also contains a `classes.txt` file that maps class indices to class names. |
|
|
| ## Classes |
|
|
| - Apple |
| - Avocado |
| - Banana |
| - Blackberry |
| - Carrot |
| - Cherry |
| - Grape |
| - Kiwi |
| - Lemon |
| - Onion |
| - Orange |
| - Papaya |
| - Peach |
| - Pear |
| - Pepper |
| - Raspberry |
| - Strawberry |
| - Tomato |
|
|
| ## Repository Structure |
|
|
| The repository is organized with separate `images/` and `labels/` directories for each class, further split into `train/`, `val/`, and `test/` subsets. Each split contains its own `classes.txt` file. |
|
|
| ```text |
| data/ |
| ├── apple/ |
| │ ├── images/ |
| │ │ ├── train/ |
| │ │ │ ├── apple_0000.jpg |
| │ │ │ ├── apple_0001.jpg |
| │ │ │ └── ... |
| │ │ ├── val/ |
| │ │ │ ├── apple_0025.jpg |
| │ │ │ └── ... |
| │ │ └── test/ |
| │ │ ├── apple_0020.jpg |
| │ │ └── ... |
| │ └── labels/ |
| │ ├── train/ |
| │ │ ├── apple_0000.txt |
| │ │ ├── apple_0001.txt |
| │ │ ├── ... |
| │ │ └── classes.txt |
| │ ├── val/ |
| │ │ ├── apple_0025.txt |
| │ │ ├── ... |
| │ │ └── classes.txt |
| │ └── test/ |
| │ ├── apple_0020.txt |
| │ ├── ... |
| │ └── classes.txt |
| ├── avocado/ |
| │ ├── images/ |
| │ │ ├── train/ |
| │ │ ├── val/ |
| │ │ └── test/ |
| │ └── labels/ |
| │ ├── train/ |
| │ ├── val/ |
| │ └── test/ |
| ├── banana/ |
| │ └── ... |
| ├── blackberry/ |
| ├── carrot/ |
| ├── cherry/ |
| ├── grape/ |
| ├── kiwi/ |
| ├── lemon/ |
| ├── onion/ |
| ├── orange/ |
| ├── papaya/ |
| ├── peach/ |
| ├── pear/ |
| ├── pepper/ |
| ├── raspberry/ |
| ├── strawberry/ |
| └── tomato/ |
| ``` |
|
|
| ## License |
|
|
| This dataset is licensed under **CC BY 4.0**. |
|
|
| You are free to: |
| - Use |
| - Modify |
| - Redistribute |
| - Use commercially |
|
|
| As long as proper attribution is provided. |
|
|
| ## Citation |
|
|
| If this dataset contributes to your research or project, please cite this repository. |
|
|
