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ERA-SESSION13
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model_stats = """
### YoloV3 Model Implementation & Training Details

Github Link: https://github.com/RaviNaik/ERA-SESSION13/tree/main

#### Achieved:
1. **Training Loss: 3.680** 
2. **Validation Loss: 4.940** 
3. **Class accuracy: 81.601883%** 
4. **No obj accuracy: 97.991463%** 
5. **Obj accuracy: 75.976616%**
6. **MAP: 0.4366795**

Model Link: 

"""

data_stats = """

### Pascal-Voc Dataset Details
Dataset Link: https://www.kaggle.com/datasets/aladdinpersson/pascal-voc-dataset-used-in-yolov3-video?resource=download
```python
Number of images: 43.2k
Dataset size: ~5GB
Classes Supported: [
    "aeroplane",
    "bicycle",
    "bird",
    "boat",
    "bottle",
    "bus",
    "car",
    "cat",
    "chair",
    "cow",
    "diningtable",
    "dog",
    "horse",
    "motorbike",
    "person",
    "pottedplant",
    "sheep",
    "sofa",
    "train",
    "tvmonitor",
]
```
"""