You can deploy this model and start earning money today!

pacoalberola/
Poke-Grader-Defect-Classifier

Views

No views yet

Poke-Grader Defect Classifier

Fine-tune de microsoft/swin-small-patch4-window7-224 para clasificar defectos en cartas Pokémon TCG.

Cabezas de clasificación

Cabeza	Clases
`surface_scratch`	none / micro / light / medium / heavy
`corner_wear`	none / light / medium / heavy
`edge_whitening`	none / light / medium / heavy

Métricas (mejor epoch: 28)

Métrica	Valor
val_loss	0.1163
Exactitud surface	93.3%
Exactitud corners	96.0%
Exactitud edges	99.8%
Exactitud media	96.4%

Entrenado con 5000 cartas (~mitad inglés, ~mitad japonés) durante 30 épocas de fine-tuning.

Uso (ONNX)

python

import onnxruntime as ort
import numpy as np

sess = ort.InferenceSession('card_defect_classifier.onnx')
# img: np.array float32, shape (1, 3, 224, 224), normalizado ImageNet
surface, corners, edges = sess.run(None, {'pixel_values': img})

Clases: ['none','micro','light','medium','heavy'] / ['none','light','medium','heavy'] / ['none','light','medium','heavy']

pacoalberola/Poke-Grader-Defect-Classifier

Poke-Grader Defect Classifier

Cabezas de clasificación

Métricas (mejor epoch: 28)

Uso (ONNX)

pacoalberola/
Poke-Grader-Defect-Classifier