Is it free to convert YOLO Keras TXT to YOLOv4 PyTorch TXT?
Yes! It is free to convert YOLO Keras TXT data into the YOLOv4 PyTorch TXT format on the Roboflow platform.
Convert annotation formats
How To Convert YOLO Keras TXT to YOLOv4 PyTorch TXT
In this guide, we show you how to convert data between the YOLO Keras and YOLOv4 Pytorch formats for free. You can use your converted data to train YOLOv4 PyTorch models and other models that support the YOLOv4 Pytorch format.
YOLO Keras TXTtoYOLOv4 PyTorch TXT
YOLO Keras TXT
A format used with the Keras implementation of YOLOv3.
Below, learn the structure of YOLO Keras TXT.
yolokeras.annotations.txt
000001.jpg 178,84,230,143,1 111,144,134,174,1
000007.jpg 280,127,337,208,1 8,125,86,235,1 115,139,180,230,1 375,152,410,219,1 412,148,474,233,1 336,148,387,223,1 247,124,294,203,1 197,177,231,227,1 174,156,201,219,1 477,143,499,223,1
000012.jpg 75,20,174,128,1 284,131,303,155,1 381,189,407,215,1 242,32,258,55,1
000013.jpg 0,100,176,331,1
000014.jpg 437,174,487,233,1 326,184,379,248,1 228,249,310,352,1 372,120,402,169,1 326,137,364,185,1
000016.jpg 129,28,239,140,1
000017.jpg 150,102,184,144,1
000018.jpg 128,38,149,61,1
000019.jpg 254,70,283,107,0 107,71,137,101,0 181,66,215,111,0 145,66,174,104,0 303,61,349,121,0
000020.jpg 95,32,123,65,1 149,93,176,120,1yolokeras.classes.txt
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personYOLOv4 PyTorch TXT
A format used with the PyTorch port of YOLO v4.
Below, learn the structure of YOLOv4 PyTorch TXT.
yolov4.pytorch.txt
000049.jpg 128,168,233,275,1 158,475,290,601,1
000080.jpg 45,2,130,87,1 324,29,396,110,1 269,56,325,120,1 120,12,178,82,1 31,36,60,72,1 315,15,373,66,1 454,1,489,113,1
000038.jpg 43,46,100,108,1 244,51,304,112,1
000025.jpg 64,19,180,140,1 204,75,286,177,1 340,0,468,138,1
000087.jpg 228,41,292,108,1
000026.jpg 95,0,167,63,1 167,45,231,123,1
000068.jpg 179,4,243,88,1 40,85,76,122,1 69,64,115,108,1 2,110,29,144,1
000018.jpg 128,38,149,61,1
000037.jpg 47,22,202,199,1
000020.jpg 95,32,123,65,1 149,93,176,120,1_classes.txt
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personStep 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.
Upload your data to Roboflow by dragging and dropping your YOLO Keras TXT images and annotations into the upload space.
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
After generating, you will be prompted to Export your dataset. You can choose to receive your dataset as a .zip file or a curl download link. Choose YOLOv4 PyTorch TXT when asked in what format you want to export your data. You will see a dropdown with various options like this:
Congratulations, you have successfully converted your dataset from YOLO Keras TXT format to YOLOv4 PyTorch TXT format!
Video Tutorial
Convert Computer Vision Annotation Formats Tutorial
Want to dive deeper into converting annotation formats with Roboflow? In the tutorial below, we explore how to convert your data in the Roboflow dashboard. We also discuss rejecting annotations and train-test-validation splits.
Frequently Asked Questions
Yes! It is free to convert YOLO Keras TXT data into the YOLOv4 PyTorch TXT format on the Roboflow platform.
If you have between a few and a few thousand images, converting data between these formats will be quick. But, the time it takes to convert between data formats increases with the more images you have.
Convert YOLO Keras TXT to other formats
- COCO JSON
- COCO Run-Length Encoding (RLE)
- CreateML JSON
- Florence-2
- Google Cloud AutoML Vision CSV
- meituan/yolov6
- Multiclass Classification CSV
- OpenAI CLIP Classification
- OpenAI GPT-4o Object Detection JSONL
- PaliGemma JSONL
- Pascal VOC XML
- RetinaNet Keras CSV
- Sagemaker GroundTruth Manifest
- Scaled-YOLOv4 TXT
- Tensorflow Object Detection CSV
- Tensorflow TFRecord
- YOLO Darknet TXT
- YOLOv10 PyTorch TXT
- YOLOv11 PyTorch TXT
- YOLOv5 Oriented Bounding Boxes
- YOLOv5 PyTorch TXT
- YOLOv7 PyTorch TXT
- YOLOv8 Oriented Bounding Boxes
- YOLOv8 PyTorch TXT
- YOLOv9 PyTorch TXT
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