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Name of dataset: Digits Dataset URL of dataset: https://www.kaggle.com/datasets/frankhaverland/tenthofstepofmeterdigits/data License: Unknown Short description: Dataset needed for digit recognition (0–9) from 7-segment digital meters (e.g., electricity/water meters).
Format: Cropped single-digit images (ideal) or full meter images with annotations.
Volume: 12K–15K images to ensure robust model training.
Use case: Training Keras/TensorFlow models for OCR in utility metering.
Current gap: Existing datasets (MNIST/SVHN) lack the specific style of meter displays.
The text was updated successfully, but these errors were encountered:
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Name of dataset: Digits Dataset
URL of dataset: https://www.kaggle.com/datasets/frankhaverland/tenthofstepofmeterdigits/data
License: Unknown
Short description:
Dataset needed for digit recognition (0–9) from 7-segment digital meters (e.g., electricity/water meters).
Format: Cropped single-digit images (ideal) or full meter images with annotations.
Volume: 12K–15K images to ensure robust model training.
Use case: Training Keras/TensorFlow models for OCR in utility metering.
Current gap: Existing datasets (MNIST/SVHN) lack the specific style of meter displays.
The text was updated successfully, but these errors were encountered: