Handwritten Digit Recognition
Reputation
formula v1.3Signals
Handwritten digit recognition AI identifies, classifies, and interprets handwritten numbers (0-9) from images or inputs, commonly using Convolutional Neural Networks (CNN) for high accuracy, often over 97%. It frequently uses the MNIST dataset (60,000 training, 10,000 testing images) to train models, with applications in automated banking, check processing, and postal mail sorting
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Raw metadata
{
"name": "Handwritten Digit Recognition",
"type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1",
"image": "",
"active": true,
"services": [],
"description": "Handwritten digit recognition AI identifies, classifies, and interprets handwritten numbers (0-9) from images or inputs, commonly using Convolutional Neural Networks (CNN) for high accuracy, often over 97%. It frequently uses the MNIST dataset (60,000 training, 10,000 testing images) to train models, with applications in automated banking, check processing, and postal mail sorting",
"x402support": true,
"registrations": [],
"supportedTrusts": [
"reputation",
"crypto-economic",
"tee-attestation"
]
}
Services
No services configured.
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