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README.md
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license: cc-by-nc-nd-4.0
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---
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---
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license: cc-by-nc-nd-4.0
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task_categories:
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- image-classification
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- image-to-image
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- object-detection
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language:
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- en
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tags:
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- code
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- biology
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---
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# Ripe Strawberries Detection
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The dataset consists of photos of strawberries for the identification and recognition of **ripe berries**.
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The images are annotated with **bounding boxes** that accurately demarcate the location of the ripe strawberries within the image.
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Each image in the dataset showcases a strawberry plantation, and includes a diverse range of *backgrounds, lighting conditions, and orientations*. The photos are captured from various *angles and distances*, providing a realistic representation of strawberries.
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The dataset can be utilised for enabling advancements in *strawberry production, quality control, and greater precision in agricultural practices*.
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# Get the Dataset
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### This is just an example of the data
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Contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** to discuss your requirements, learn about the price and buy the dataset
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# Dataset structure
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- **images** - contains of original images of strawberries
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- **boxes** - includes bounding box labeling for the original images
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- **annotations.xml** - contains coordinates of the bounding boxes and labels, created for the original photo
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# Data Format
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Each image from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes for ripe strawberries detection. For each point, the x and y coordinates are provided. Visibility of the ripe strawberry is also provided by the attribute **occluded** (0, 1).
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# Example of XML file structure
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# Strawberry Detection might be made in accordance with your requirements.
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## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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