Treevill: National Botanical Garden Unique & Rare Tree Argument Dataset
Description
The Treevill: National Botanical Garden Unique & Rare Tree Argument Dataset was meticulously curated to provide high-quality, diverse images of tree species found in the National Botanical Garden of Bangladesh (N.B.G.). The dataset is designed to support a wide range of research and machine learning applications, particularly in biodiversity studies, image classification, and object recognition. Source of Data: The images in this dataset were collected directly from the National Botanical Garden of Bangladesh, which houses a wide variety of unique and rare tree species. Data collection was performed under natural conditions to ensure the images captured a diverse representation of each species from multiple angles, lighting conditions, and environmental settings. Species Documentation: Data Augmentation Process: Grayscale: Images were converted to black-and-white to focus more on the structural features of the trees, reducing the influence of color. Posterized: The number of colors in the image was reduced to highlight shapes and contrasts, simulating the effect of various imaging techniques. Rotated: Images were randomly rotated to simulate different viewpoints and perspectives, enabling the model to better recognize the tree species from any angle. Flipped Horizontal/Vertical: Horizontal and vertical mirroring was applied to simulate alternative tree orientations, increasing the variety in the dataset. Bright/Contrast Adjustments: The brightness and contrast of the images were modified to simulate varying environmental lighting conditions, such as sunny, cloudy, or shaded areas. Blurred: Some images were intentionally blurred to simulate focus variations and to mimic different depth-of-field effects in real-world photography. Edge Enhancement: Sharpness was applied to highlight edges and features of the trees, making fine details stand out. Inverted: Colors in some images were inverted to test the model's robustness against unusual or extreme lighting conditions. Thumbnail: Lower-resolution versions of images were created to emphasize larger patterns and visual structures, useful for testing model performance at lower resolutions. Cropped: Images were cropped to simulate partial views or closer inspections of specific parts of the tree, focusing on details such as leaves, bark, or fruits. Sharpened: The sharpness of some images was enhanced to emphasize finer details of the tree species and their distinguishing features. Sepia: A sepia tone was applied to simulate aged or vintage photographs, which may be encountered in some botanical archives or historical documents.
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More details: https://doi.org/10.34740/KAGGLE/DSV/10582625 Treevill: N.B.G. Unique & Rare Raw Dataset - Access, Collaboration, and Paid Services Policy I, Shuvo Kumar Basak, have created and curated the Treevill: N.B.G. Unique & Rare Raw Dataset, which consists of images of unique and rare tree species collected from the National Botanical Garden of Bangladesh. This dataset is freely available for research, educational, and non-commercial purposes. Free Access to the Dataset: The Treevill: N.B.G. Unique & Rare Raw Dataset is available free of charge to all individuals and organizations for educational and research use. This is to support the advancement of knowledge and studies related to biodiversity, machine learning, and related fields. Future Collaboration and Data Requests: While the dataset is provided free of charge, I encourage individuals and organizations to contact me directly if they need access to additional related data, further assistance, or if they plan on expanding their research in the future. If you require any new data or specific related datasets, feel free to reach out to me, Shuvo Kumar Basak, for collaboration. I am happy to assist with additional data collection, cleaning, resizing, or other related services at a reasonable cost. Paid Services - Hire for Data Collection: If you or your organization need custom data collection or wish to obtain related datasets beyond what is included in this collection, I offer a paid service to gather new data according to your specific requirements. This includes: Custom data collection for other tree species or related botanical data. Data cleaning, resizing, and preprocessing to make the data ready for analysis. Please contact me for a custom quote based on your specific needs. I will work with you to provide high-quality, tailored datasets to support your research, project, or business needs. Terms and Conditions: The dataset is intended for academic, research, and non-commercial purposes only. Redistribution or commercial use of the dataset without prior written consent is not permitted. Proper attribution to Shuvo Kumar Basak as the creator of the dataset should be provided when using the dataset in publications, projects, or other works. **More Dataset:: ** https://www.kaggle.com/shuvokumarbasak4004/datasets https://www.kaggle.com/shuvokumarbasak2030 …………………………………..Note for Researchers Using the dataset……………………………………………………………………… This dataset was created by Shuvo Kumar Basak. If you use this dataset for your research or academic purposes, please ensure to cite this dataset appropriately. If you have published your research using this dataset, please share a link to your paper. Good Luck.