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| license: cc-by-nc-sa-4.0 |
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| # T. cruzi Detection Model |
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| ## Overview |
| This repository contains an object detection model trained using the TensorFlow Object Detection API for detecting *Trypanosoma cruzi* parasites in microscopic images. The model is based on SSD MobileNet V2 architecture and has been developed by Spotlab. |
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| This model is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). |
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| **Model ID:** 2xmn544x |
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| ## Model Details |
| - **Architecture:** SSD MobileNet V2 |
| - Training data: published on [zenodo](https://zenodo.org/records/15007339) |
| | Sample type | Training Image | Training Label | Validation Image | Validation Label | |
| | ----------------- | -------------- | -------------- | ---------------- | ---------------- | |
| | Human CSF | 261 | 512 | 68 | 191 | |
| | Human Blood thick | 61 | 55 | 26 | 14 | |
| | Human Blood thin | 156 | 95 | 154 | 64 | |
| | Mice Blood thin | 570 | 2648 | 105 | 503 | |
| | Total | 1048 | 3310 | 353 | 772 | |
| - **Performance:** |
| | Metrics | Human | Mice | |
| | --------- | ----- | ---- | |
| | Precision | 86 | 95.8 | |
| | Recall | 87 | 85 | |
| | F1 score | 86.5 | 90.1 | |
| ## Usage Instructions |
| ### Prepare the app |
| 1. Download huggingSpot from google play store |
| 2. Download model using model URL and API KEY |
| 3. |
| <p align="center"> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/6509bcfc7e0d56c2717248be/SFFEvw8TPK-FWPqW5rLgg.png" alt="download_app" width="45%"/> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/6509bcfc7e0d56c2717248be/QAcQvyQ85MB0QA_9KzdiO.png" alt="download_model" width="45%"/> |
| </p> |
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| ### Image Preparation |
| 1. **Increase the zoom** until the inner square is clearly visible in the preview |
| 2. Once the inner square appears, the model is ready for detection |
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| ### Example Images |
| Here are examples of properly prepared images for detection: |
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| ### Example Predictions |
| The model can detect T. cruzi parasites with high accuracy: |
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