| model_name: Wheat Anomaly Detection Model | |
| tags: | |
| - pytorch | |
| - resnet | |
| - agriculture | |
| - anomaly-detection | |
| license: apache-2.0 | |
| library_name: transformers | |
| datasets: | |
| - wheat-disease-dataset | |
| model_type: resnet | |
| preprocessing: | |
| - resize: 256 | |
| - center_crop: 224 | |
| - normalize: [0.485, 0.456, 0.406] | |
| - normalize_std: [0.229, 0.224, 0.225] | |
| framework: pytorch | |
| task: image-classification | |
| pipeline_tag: image-classification | |