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You will need to download the Unity Hub first (follow the steps at https://unity.com/download). Preferably version 6000.0.42f1 for this project.

Once unity is setup, download the zip for this project and extract it.

Open unity hub and go to Add Project to choose the project folder and then wait for it to render.

On playing the scene, you can see the randomizations occur in the game view and after its done a new sequence_ folder is created consisting of iterations like solo_0, solo_1, solo_2 etc.

Each solo folder will containg the image/frame for that particular iteration along with the json annotation file. This data can now be used to train ML models after converting it to suitable formats like COCO or YOLO.

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Using Unity perception to generate dataset of underwater images consisting of photos of a shark and stockfish attached to a gate

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