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README.md

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+---
+license: mit
+tags:
+- image-classification
+- resnet
+- roadwork-detection
+- competitor-model
+---
+
+# ResNet-18 Roadwork Detector
+
+ResNet-18 model for eroadwork
+
+## Model Details
+- **Architecture**: ResNet-18
+- **Task**: Binary image classification (Roadwork detection)
+- **Framework**: PyTorch/torchvision
+- **Input Size**: 224x224
+- **Number of Parameters**: ~11M
+- **Output Type**: sigmoid
+
+## Usage
+
+```python
+import torch
+from torchvision import models, transforms
+from torch import nn
+from PIL import Image
+
+# Load model
+model = models.resnet18(weights=None)
+model.fc = nn.Linear(512, 2)
+model.load_state_dict(torch.load('pytorch_model.bin'))
+model.eval()
+
+# Prepare image
+transform = transforms.Compose([
+    transforms.Resize(256),
+    transforms.CenterCrop(224),
+    transforms.ToTensor(),
+    transforms.Normalize(mean=[0.485, 0.456, 0.406],
+                       std=[0.229, 0.224, 0.225])
+])
+
+image = Image.open('your_image.jpg')
+input_tensor = transform(image).unsqueeze(0)
+
+# Inference
+with torch.no_grad():
+    output = model(input_tensor)
+    prediction = torch.nn.functional.softmax(output, dim=1)
+
+print(f"No Roadwork: {prediction[0][0]:.2%}")
+print(f"Roadwork: {prediction[0][1]:.2%}")
+```
+
+## Classes
+- 0: No Roadwork
+- 1: Roadwork
+
+## Submitted By
+5Fc8jh7Yu65v7K4hi9s6d3MkkGJ8g4
+
+## Submission Time
+2025-10-24 02:12:45

config.json

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+{
+  "_name_or_path": "resnet18",
+  "architectures": [
+    "ResNet"
+  ],
+  "model_type": "resnet",
+  "num_classes": 1,
+  "num_labels": 1,
+  "id2label": {
+    "0": "No Roadwork",
+    "1": "Roadwork"
+  },
+  "label2id": {
+    "No Roadwork": 0,
+    "Roadwork": 1
+  },
+  "image_size": 224,
+  "num_channels": 3,
+  "output_type": "sigmoid"
+}

model_card.json

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+{
+  "model_name": "ResNet-18 Roadwork Detector",
+  "description": "ResNet-18 model for roadwork",
+  "version": "1.0.0",
+  "submitted_by": "5Fc8jh7YS4LSNj5Uu65v7K4hi9s6d3MYLDfdjdJgkGJ8E5g4",
+  "submission_time": 1761289965
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "do_rescale": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "size": {
+    "shortest_edge": 256,
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7a6ab8a768389134d7cc50a1cefaf087892bea80aea583574a68a54827afad80
+size 44785970