| library_name: torchvision | |
| pipeline_tag: image-classification | |
| tags: | |
| - efficientnet | |
| - computer-vision | |
| - healthcare-ai | |
| - reference-card | |
| # OtoVision EfficientNet-B0 Reference | |
| Architecture/provenance card for the OtoVision training pipeline. | |
| - `torchvision.models.efficientnet_b0` | |
| - pretrained dependency: `EfficientNet_B0_Weights.DEFAULT` | |
| - five-class classifier head in the project code | |
| **No user-trained OtoVision checkpoint is hosted here.** The genuine five-class model has not been published because the roadmap requires real dataset/checkpoint provenance and executed evaluation first. | |
| Source revision: `debb66fd746286db371a925ba97f84b7a4dcf517` | |
| Source: https://github.com/singhankitsrf/Otovision-MLOps | |