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