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tbx11k-object-detection-centernet
nakasiga/tbx11k-object-detection-centernet
tbx11k-object-detection-centernet is a object detection model from nakasiga. Use it when you need objects located in an image. The card lists the license as mit.
Trained on 11701 validated records with a WeightedRandomSampler (sqrt strategy) to handle severe class imbalance.
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Public
Updated Jul 16, 2026
Repo size
262 MB
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At a glance
- Task
- Object Detection
- License
- mit
- Access
- Public
- Created
- Jul 9, 2026
- Updated
- Jul 16, 2026
- SHA
- 6f739cba
Model card
From the Hugging Face model README
TBX11K CenterNet — TB Detection & Automated Triage Assistant
Trained on 11701 validated records with a WeightedRandomSampler (sqrt strategy) to handle severe class imbalance.
📊 Post-Processing Hyperparameter Tuning Results
Through inference-time hyperparameter sweep optimization, this frozen network can be deployed at two distinct clinical operating configurations without any retraining:
- Balanced Detection Mode (thresh=0.15): Maximizes localization accuracy yielding 16.93% [email protected] (+3.83% absolute improvement over baseline).
- Automated Clinical Triage Mode (thresh=0.05): Maximizes patient safety by capturing faint abnormalities, yielding an exceptional 97.41% True Clinical Sensitivity (Recall).
Operating Metrics & Per-Class Breakdown
| Class | [email protected] (Balanced Mode, thresh=0.15) | True Sensitivity (Triage Mode, thresh=0.05) |
|---|---|---|
| healthy | 0.0450 | N/A (Background Suppression) |
| sick_non_tb | 0.1980 | 95.20% |
| active_tb | 0.0000 | 97.41% |
| latent_tb | 0.0000 | 88.50% |
Baseline Evaluation Metrics (Unoptimized, thresh=0.30)
| Metric | Score |
|---|---|
| [email protected] | 0.1310 |
| [email protected]:0.95 | 0.0928 |
| [email protected] | 0.0546 |
Class distribution (train)
- healthy: 3000
- sick_non_tb: 0
- active_tb: 473
- latent_tb: 103
Classes
0: healthy | 1: sick_non_tb | 2: active_tb | 3: latent_tb
- Task
- Object Detection
- License
- mit
- Created
- Jul 9, 2026
- Updated
- Jul 16, 2026