Tbx11k Object Detection Faster Rcnn
This model is a Faster R-CNN detector fine-tuned on the TBX11K chest X-ray dataset for Tuberculosis localization and categorization.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 330 MB
- Versión
- vRevision 649ed71
- Actualizado
- 21 oct 2026
- Publicador
- @nakasiga
- Descargas
- 0
- Fuente
- Hugging Face
Descripción de la fuente
TBX11K Faster R-CNN (ResNet50-FPN-V2)
This model is a Faster R-CNN detector fine-tuned on the TBX11K chest X-ray dataset for Tuberculosis localization and categorization.
Training Configuration
- Image Size: 512x512
- Epochs: 30
- Batch Size: 4
- Optimization Strategy: WeightedRandomSampler for class balance control
Validation Performance (Best Epoch)
| Metric | Score |
|---|---|
| Best Validation [email protected] | 0.3728 |
Blind Test Inference Distribution
The model was run on 3302 unannotated test samples, outputting the following diagnosis breakdown:
- Predicted Active TB: 420
- Predicted Latent TB: 60
- Predicted Healthy/Negative: 2822
Internal Model Class Map (Background Offset)
0: Background (Internal Only)1: Active TB2: Latent TB
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 21 oct
Artefactos del modelo
2 artefactos
Artefactos del modelo
2 artefactosExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: mit tags: - object-detection - medical - tuberculosis - faster-rcnn - chest-xray pipeline_tag: object-detection --- # TBX11K Faster R-CNN (ResNet50-FPN-V2) This model is a Faster R-CNN detector fine-tuned on the TBX11K chest X-ray dataset for Tuberculosis localization and categorization. ## Training Configuration - **Image Size**: 512x512 - **Epochs**: 30 - **Batch Size**: 4 - **Optimization Strategy**: WeightedRandomSampler for class balance control ## Validation Performance (Best Epoch) | Metric | Score | |--------|-------| | Best Validation [email protected] | 0.3728 | ## Blind Test Inference Distribution The model was run on 3302 unannotated test samples, outputting the following diagnosis breakdown: - **Predicted Active TB**: 420 - **Predicted Latent TB**: 60 - **Predicted Healthy/Negative**: 2822 ## Internal Model Class Map (Background Offset) - `0`: Background (Internal Only) - `1`: Active TB - `2`: Latent TB
--- license: mit tags: - object-detection - medical - tuberculosis - faster-rcnn - chest-xray pipeline_tag: object-detection --- # TBX11K Faster R-CNN (ResNet50-FPN-V2) This model is a Faster R-CNN detector fine-tuned on the TBX11K chest X-ray dataset for Tuberculosis localization and categorization. ## Training Configuration - **Image Size**: 512x512 - **Epochs**: 30 - **Batch Size**: 4 - **Optimization Strategy**: WeightedRandomSampler for class balance control ## Validation Performance (Best Epoch) | Metric | Score | |--------|-------| | Best Validation [email protected] | 0.2217 | ## Blind Test Inference Distribution The model was run on 3302 unannotated test samples, outputting the following diagnosis breakdown: - **Predicted Active TB**: 468 - **Predicted Latent TB**: 40 - **Predicted Sick Non-TB**: 0 - **Predicted Healthy/Negative**: 2794 ## Internal Model Class Map (Background Offset) - `1`: Background (Internal Only) - `2`: Sick Non-TB - `3`: Active TB - `4`: Latent TB
--- license: mit ---
