Update model with proper task configuration
Browse files- README.md +25 -0
- config.json +1 -14
README.md
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---
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language: en
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license: mit
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tags:
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- image-classification
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- computer-vision
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- fraud-detection
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pipeline_tag: image-classification
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---
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# Fraud Detection Image Classification Model
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This model classifies images into 3 classes:
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- Class 0: Non fraudulent images, passed the safety check
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- Class 1: Fraudulent images of type 5- Inpaint and Rewriting found in the ID
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- Class 2: Fraudulent images of type 6- Cropping and replacement found in the ID
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## Usage
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from transformers import pipeline
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classifier = pipeline("image-classification", model="IrishMehta/fraud-detection-idnet-three-class")
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result = classifier("path/to/image.jpg")
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print(result)
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config.json
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{
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"hidden_size": 2048,
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"id2label": {
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"0": "0",
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"1": "1",
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"2": "2"
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},
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"label2id": {
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"0": 0,
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"1": 1,
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"2": 2
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},
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"transformers_version": "4.45.2"
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}
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{"architectures": ["ResNetForImageClassification"], "model_type": "resnet", "num_labels": 3, "id2label": {"0": "0", "1": "1", "2": "2"}, "label2id": {"0": 0, "1": 1, "2": 2}, "hidden_size": 2048, "problem_type": "single_label_classification", "pipeline_tag": "image-classification"}
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