Dataset Documentation

Welcome to the comprehensive dataset documentation for Flipkart's Smart System. Our carefully curated datasets form the foundation of our AI-powered quality control and object detection systems.

Overview

Our datasets are meticulously collected, annotated, and validated to ensure high accuracy in production environments. Each category serves a specific purpose in our quality control pipeline and is regularly updated to maintain relevance and performance.

Dataset Categories

🍉

Packed Objects

Comprehensive data collection for processed and packaged goods, including:

  • Package integrity assessment
  • Label verification
  • Quality control metrics
🍎

Fruits

Advanced metrics for fruit quality assessment, including:

  • Ripeness detection
  • Damage identification
  • Freshness evaluation
⏱

Expiry Detection

Specialized dataset for date identification, featuring:

  • Date format recognition
  • Batch code analysis
  • Manufacturing date detection
📄

General Object Detection

Versatile object detection dataset, including:

  • Multi-category classification
  • Object localization
  • Attribute detection

Dataset Statistics

Total Images

50,0000+

Categories

4 Major

Annotation Quality

99.9%

Last Updated

December 2024