How To Convert Unity Perception JSON to YOLO Darknet TXT

Step 1: Create a free Roboflow public workspace

Roboflow is a universal conversion tool for computer vision annotation formats. The Public plan is the best way for those exploring personal projects, class assignments, and other experiments to try Roboflow. To convert your dataset, start by creating a free workspace on the Public plan.

Step 2: Upload your data into Roboflow

Once your account has been created, click Create New Project.

Step 3: Generate Dataset Version

Next, click "Generate New Version" to generate a new version of your dataset:

You can then apply any preprocessing or augmentation steps to your dataset:

Step 4: Export Dataset Version

Next Steps

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

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YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

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YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

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