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Ripe Strawberries Detection
The dataset consists of photos of strawberries for the identification and recognition of ripe berries. The images are annotated with bounding boxes that accurately demarcate the location of the ripe strawberries within the image.
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.
The dataset can be utilised for enabling advancements in strawberry production, quality control, and greater precision in agricultural practices.
Get the dataset
This is just an example of the data
Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.
Dataset structure
- images - contains of original images of strawberries
- boxes - includes bounding box labeling for the original images
- annotations.xml - contains coordinates of the bounding boxes and labels, created for the original photo
Data Format
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).
Example of XML file structure
Strawberry Detection might be made in accordance with your requirements.
**TrainingData**
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
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