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1 change: 1 addition & 0 deletions docs/source/main/model_zoo/MODEL_ZOO.md
Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,7 @@ The [Model ZOO](https://chmura.put.poznan.pl/s/2pJk4izRurzQwu3) is a collection
| [Aerial Cars Detection](https://chmura.put.poznan.pl/s/vgOeUN4H4tGsrGm) | 640 | 10 | YOLOv7-m model for cars detection on aerial images. Based on the [ITCVD](https://arxiv.org/pdf/1801.07339.pdf). | [Image](https://chmura.put.poznan.pl/s/cPzw1mkXlprSUIJ) |
| [UAVVaste Instance Segmentation](https://chmura.put.poznan.pl/s/v99rDlSPbyNpOCH) | 640 | 0.5 | YOLOv8-L Instance Segmentation model for litter detection on high-quality UAV images. Based on the [UAVVaste dataset](https://github.com/PUTvision/UAVVaste). | [Image](https://chmura.put.poznan.pl/s/KFQTlS2qtVnaG0q) |
| [Tree-Tops Detection](https://chmura.put.poznan.pl/s/A9zdp4mKAATEAGu) | 640 | 10 | YOLOv9 model for treetops detection on aerial images. Model is trained on the mix of publicly available datasets. | [Image](https://chmura.put.poznan.pl/s/F0lkIX9xhcwD4PG) |
| [Ship Detection](https://github.com/ArturWoz/ship-detection/releases/download/release/ship-detection-model.onnx)| 640 | 30 | YOLOv8s model for ship detection on aerial images. Trained on [mix of publicly available datasets](https://github.com/ArturWoz/ship-detection/blob/main/README.md). | [Image](https://github.com/ArturWoz/ship-detection/blob/main/example.png) |
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You have set the GSD resolution to 30 cm/px here, but in the model's metadata, it is 10 - you should adjust these values accordingly.


## Super Resolution Models
| Model | Input size | CM/PX | Scale Factor | Description | Example image |
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