Bangladeshi Fruit Dataset: Classification and Analysis of Seven Native Species for Agricultural Research

This dataset includes 28,500 annotated images of seven tropical fruit species, combining both raw and augmented images to support machine learning applications in fruit detection, classification, and recognition. Key highlights include:
• Total Images: 28,500 (5,470 raw + 23,030 augmented)
• Species: Apple, Banana, Date, Grape, Guava, Orange, Papaya
• Augmentation Techniques: Rotation, scaling, brightness adjustments, contrast variations
• Content: Captures variability in backgrounds, lighting, and maturity stages
• Applications: Agricultural monitoring, biodiversity research, species identification, and AI-based solutions
• Purpose: Enhances machine learning model accuracy and resilience in real-world scenarios

本数据集囊括了28,500张标注过的热带水果物种图像，包括原始图像与增强图像，旨在支持水果检测、分类与识别等机器学习应用。其主要亮点如下：
• 总图像数量：28,500张（其中5,470张为原始图像，23,030张为增强图像）
• 物种：苹果、香蕉、椰枣、葡萄、石榴、橙子、木瓜
• 增强技术：旋转、缩放、亮度调整、对比度变化
• 内容：捕捉背景、光线及成熟阶段的变化
• 应用：农业监测、生物多样性研究、物种鉴定以及基于AI的解决方案
• 目的：提高机器学习模型在实际场景中的准确性与鲁棒性。