| 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: https://huggingface.co/spaces/RaviNaik/ERA-SESSION13/blob/main/model.ckpt |
| |
| """ |
|
|
| 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", |
| ] |
| ``` |
| """ |
|
|
