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Update README.md

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@@ -39,7 +39,7 @@ DDOS is organised as follows:
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  - Test: Contains 20 flights with a total of 2k images for the final evaluation of the trained model.
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  - Environments:
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- - Neighborhood: Contains data captured in urban and residential environments.
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  - Park: Contains data captured in park and natural environments.
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  - Flights:
@@ -127,7 +127,7 @@ data/
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  ## Dataset Usage
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  - **Data Loading:**
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- To load and utilize the DDOS dataset for your projects, you can refer to the official PyTorch data loading tutorial: [PyTorch Data Loading Tutorial](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)
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  This tutorial will guide you through the process of loading data, creating data loaders, and preparing the dataset for training or evaluation using PyTorch.
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  - **Respect the Data Splits:**
@@ -135,7 +135,7 @@ Please ensure that the testing data is not used for validation. Mixing these dat
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  ---------
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  ## License
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- DDOS is openly licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).
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  - Test: Contains 20 flights with a total of 2k images for the final evaluation of the trained model.
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  - Environments:
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+ - Neighbourhood: Contains data captured in urban and residential environments.
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  - Park: Contains data captured in park and natural environments.
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  - Flights:
 
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  ## Dataset Usage
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  - **Data Loading:**
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+ To load and use the DDOS dataset in your projects, you can refer to the official PyTorch data loading tutorial: [PyTorch Data Loading Tutorial](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)
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  This tutorial will guide you through the process of loading data, creating data loaders, and preparing the dataset for training or evaluation using PyTorch.
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  - **Respect the Data Splits:**
 
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  ---------
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  ## License
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+ DDOS is openly licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
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