Open
Description
Purpose:
- For training computer vision models (Keras/TensorFlow) to recognize digits from digital utility meters (electricity, water, etc.).
Requirements:
- Type: 7-segment, LCD, or LED displays
- Volume: 12K–15K images (digits 0–9)
Format:
- Ideal: Pre-cropped single digits
- Ideal: Pre-cropped single digits
Examples:
- Existing dataset for mechanical counters:
Kaggle: Tenth of Step of Meter Digits
Key Features:
- Bilingual clarity – Ensures wider reach among Russian/English contributors.
- Structured comparison – Highlights gaps vs. mechanical counter datasets.
- Visualizable – Space to embed actual meter images later.