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sign-identification-autogluon – AI Model by nadakandrew | AlphaNeural AI

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nadakandrew/
sign-identification-autogluon

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Image AutoML with AutoGluon, Sign Identification

Dataset: ecopus/sign_identification

Task: multiclass image classification using AutoGluon Multimodal.

Training

Preset: medium_quality
Backbone: timm_image, resnet18
Split: augmented 80 percent train, 20 percent test
External validation: original split

Results

Augmented test accuracy: 1.0000
Augmented test weighted F1: 1.0000
Original external accuracy: 1.0000
Original external weighted F1: 1.0000

How to load

python

from autogluon.multimodal import MultiModalPredictor
predictor = MultiModalPredictor.load('predictor_dir')
pred = predictor.predict({'image': ['/path/to/img.png']})