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@@ -38,7 +38,20 @@ python -m venv venv
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pip install -r requirements.txt
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```
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-### 2. Configuration (`.env`)
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+### 2. Dataset & Training
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+
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+1. Download the dataset from [Roboflow](https://universe.roboflow.com/assignment-vvtq7/oil-palm-ripeness/dataset/5/download/yolov8)
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+*Or you can also find your own separate source of datasets. Make sure the file/folder format structure is consistent, especially the .yaml file.
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+2. Extract into `/datasets`.
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+3. **Train the model:**
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+```bash
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+python train_script.py
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+
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+```
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+
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+3. Copy the resulting `best.pt` from `runs/detect/train/weights/` to the project root.
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+
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+### 3. Configuration (`.env`)
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Ensure your `.env` file is populated with the following keys:
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- `MONGO_URI`: Your MongoDB Atlas connection string.
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@@ -51,7 +64,6 @@ Ensure your `.env` file is populated with the following keys:
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---
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## 🚦 How to Run
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-
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### Running the API Server
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The API acts as the bridge for n8n or mobile integrations. You can start it using the root wrapper:
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Dr-Swopt