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- eval/events.out.tfevents.1688850071.Sputnik.3440727.0 +3 -0
- eval/report.md +11 -0
README.md
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## **Model**
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This model is a custom implementation of **ResNetYoloV1** from the ```vision_models_playground.models.segmentation.yolo_v1``` module.
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Please look in the config file for more information about the model architecture.
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## **Model**
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This model is a custom implementation of **ResNetYoloV1** from the ```vision_models_playground.models.segmentation.yolo_v1``` module.
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Please look in the config file for more information about the model architecture.
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## **Metrics**
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The model was evaluated on the following on the **YoloPascalVocDataset** from ```vision_models_playground.datasets.yolo_pascal_voc_dataset```
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These are the results of the evaluation:
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- MulticlassAccuracy: 0.7241
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- MulticlassAveragePrecision: 0.7643
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- MulticlassAUROC: 0.9684
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- Dice: 0.7241
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- MulticlassF1Score: 0.7241
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- LossTracker: 4.1958
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## **Additional Information**
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The train and evaluation runs are also saved using tensorboard. You can use the following command to visualize the runs:
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```bash
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tensorboard --logdir ./model
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```
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```bash
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tensorboard --logdir ./eval
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```
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eval/events.out.tfevents.1688850071.Sputnik.3440727.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:302bacc363b2c5572dc6c9f41cb7e5c7b2b18d199712143b699cf02e9c18cef6
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size 36110
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eval/report.md
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## **Metrics**
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The model was evaluated on the following on the **YoloPascalVocDataset** from ```vision_models_playground.datasets.yolo_pascal_voc_dataset```
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These are the results of the evaluation:
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- MulticlassAccuracy: 0.7241
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- MulticlassAveragePrecision: 0.7643
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- MulticlassAUROC: 0.9684
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- Dice: 0.7241
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- MulticlassF1Score: 0.7241
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- LossTracker: 4.1958
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