Tunisian Date Fruit Classification Dataset

Overview

The Tunisian Date Fruit Image Dataset provides high-resolution, raw images of two popular Tunisian date fruit varieties: Deglet Nour and Allig. Captured under meticulously controlled conditions, this dataset is ideal for researchers and developers in the fields of computer vision, machine learning, and agriculture technology. The dataset is organized for ease of use, enabling custom preprocessing and analysis workflows.

Dataset Highlights

• Date Fruit Varieties: Deglet Nour and Allig
• Image Type: Raw and unprocessed, preserving original quality
• Applications: Image classification, quality assessment, agricultural research, and machine learning model training

Image Acquisition Details

Controlled Lighting Environment

• Setup: Images were taken in a 60 cm lightbox equipped with 5500K daylight LED panels to ensure neutral, shadow-free lighting and accurate color representation.
• Purpose: Eliminates glare and inconsistencies, enhancing dataset reliability for visual analysis.

Camera Specifications

• Device: Samsung Galaxy A05 Smartphone (Rear Camera)
  • Resolution: 50 MP sensor
  • Aperture: f/1.8 for superior low-light performance
• Stabilization: Images captured using a fixed camera stand for consistency and minimal blur.

Manual Camera Settings (Pro Mode)

1. Focus:
   • Adjusted manually via the AF (Auto Focus) slider in Pro Mode to ensure sharp and clear fruit details.
2. White Balance:
   • Set to the Daylight preset (5500K) for consistent color accuracy matching the lighting environment.