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---------

Co-authored-by: Eugene Khvedchenya <ekhvedchenya@gmail.com>
Co-authored-by: Ofri Masad <ofrimasad@users.noreply.github.com>
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## Step 0: Installations and Dataset Setup

Follow the setup instructions for RF100:
Follow the [official instructions](https://github.com/roboflow/roboflow-100-benchmark?ref=roboflow-blog) to download Roboflow100:

To use this dataset, you **must** download the "coco" format, **NOT** the yolov5.

```
- Follow the official instructions to download Roboflow100: https://github.com/roboflow/roboflow-100-benchmark?ref=roboflow-blog
//!\\ To use this dataset, you must download the "coco" format, NOT the yolov5.
- Your dataset should look like this:
rf100
├── 4-fold-defect
│ ├─ train
│ │ ├─ 000000000001.jpg
│ │ ├─ ...
│ │ └─ _annotations.coco.json
│ ├─ valid
│ │ └─ ...
│ └─ test
│ └─ ...
├── abdomen-mri
│ └─ ...
└── ...
- Install CoCo API: https://github.com/pdollar/coco/tree/master/PythonAPI
- Your dataset should look like this:
rf100
├── 4-fold-defect
│ ├─ train
│ │ ├─ 000000000001.jpg
│ │ ├─ ...
│ │ └─ _annotations.coco.json
│ ├─ valid
│ │ └─ ...
│ └─ test
│ └─ ...
├── abdomen-mri
│ └─ ...
└── ...
- Install CoCo API: https://github.com/pdollar/coco/tree/master/PythonAPI
```

Install the latest version of SG:
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