Is it free to convert YOLOv8 PyTorch TXT to Scaled-YOLOv4 TXT?
Yes! It is free to convert YOLOv8 PyTorch TXT data into the Scaled-YOLOv4 TXT format on the Roboflow platform.
Convert annotation formats
How To Convert YOLOv8 PyTorch TXT to Scaled-YOLOv4 TXT
In this guide, we show you how to convert data between the YOLOv8 and YOLOv4 Scaled formats for free. You can use your converted data to train Scaled YOLOv4 models and other models that support the YOLOv4 Scaled format.
YOLOv8 PyTorch TXTtoScaled-YOLOv4 TXT
YOLOv8 PyTorch TXT
A modified version of YOLO Darknet annotations that adds a YAML file for model config.
Below, learn the structure of YOLOv8 PyTorch TXT.
Each image has one txt file with a single line for each bounding box. The format of each row is
class_id center_x center_y width height
where fields are space delimited, and the coordinates are normalized from zero to one.
Note: To convert to normalized xywh from pixel values, divide x (and width) by the image's width and divide y (and height) by the image's height.
001.txt
1 0.617 0.3594420600858369 0.114 0.17381974248927037
1 0.094 0.38626609442060084 0.156 0.23605150214592274
1 0.295 0.3959227467811159 0.13 0.19527896995708155
1 0.785 0.398068669527897 0.07 0.14377682403433475
1 0.886 0.40879828326180256 0.124 0.18240343347639484
1 0.723 0.398068669527897 0.102 0.1609442060085837
1 0.541 0.35085836909871243 0.094 0.16952789699570817
1 0.428 0.4334763948497854 0.068 0.1072961373390558
1 0.375 0.40236051502145925 0.054 0.1351931330472103
1 0.976 0.3927038626609442 0.044 0.17167381974248927The `data.yaml` file contains configuration values used by the model to locate images and map class names to class_id's.
data.yaml
train: ../train/images
val: ../valid/images
nc: 3
names: ['head', 'helmet', 'person']
Scaled-YOLOv4 TXT
Scaled-YOLOv4 uses a variant on the Darknet TXT format with an additional data.yaml configuration file.
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 YOLOv8 PyTorch 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 Scaled-YOLOv4 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 YOLOv8 PyTorch TXT format to Scaled-YOLOv4 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 YOLOv8 PyTorch TXT data into the Scaled-YOLOv4 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 YOLOv8 PyTorch 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
- PaliGemma JSONL
- Pascal VOC XML
- RetinaNet Keras CSV
- RF-DETR
- Sagemaker GroundTruth Manifest
- Segment Anything 2
- Segment Anything 2
- Tensorflow Object Detection CSV
- Tensorflow TFRecord
- YOLO Darknet TXT
- YOLO Keras TXT
- YOLOv10 PyTorch TXT
- YOLOv11 PyTorch TXT
- YOLOv12 PyTorch TXT
- YOLOv4 PyTorch TXT
- YOLOv5 Oriented Bounding Boxes
- YOLOv5 PyTorch TXT
- YOLOv7 PyTorch TXT
- YOLOv8 Oriented Bounding Boxes
- YOLOv9 PyTorch TXT
Convert other formats to Scaled-YOLOv4 TXT
- How To Convert COCO JSON to Scaled-YOLOv4 TXT
- How To Convert Cogniac to Scaled-YOLOv4 TXT
- How To Convert CreateML JSON to Scaled-YOLOv4 TXT
- How To Convert Google Cloud AutoML Vision CSV to Scaled-YOLOv4 TXT
- How To Convert IBM Cloud Annotations JSON to Scaled-YOLOv4 TXT
- How To Convert Kaggle Wheat CSV to Scaled-YOLOv4 TXT
- How To Convert LabelBox JSON to Scaled-YOLOv4 TXT
- How To Convert LabelBox Video JSON to Scaled-YOLOv4 TXT
- How To Convert LabelMe JSON to Scaled-YOLOv4 TXT
- How To Convert Marmot XML to Scaled-YOLOv4 TXT
- How To Convert Multiclass Classification CSV to Scaled-YOLOv4 TXT
- How To Convert OIDv4 TXT to Scaled-YOLOv4 TXT
- How To Convert OpenImages CSV to Scaled-YOLOv4 TXT
- How To Convert Pascal VOC XML to Scaled-YOLOv4 TXT
- How To Convert RetinaNet Keras CSV to Scaled-YOLOv4 TXT
- How To Convert Sagemaker GroundTruth Manifest to Scaled-YOLOv4 TXT
- How To Convert Scale AI JSON to Scaled-YOLOv4 TXT
- How To Convert SuperAnnotate JSON to Scaled-YOLOv4 TXT
- How To Convert Supervisely JSON to Scaled-YOLOv4 TXT
- How To Convert Tensorflow Object Detection CSV to Scaled-YOLOv4 TXT
- How To Convert Udacity TXT to Scaled-YOLOv4 TXT
- How To Convert Unity Perception JSON to Scaled-YOLOv4 TXT
- How To Convert VGG Image Annotator CSV to Scaled-YOLOv4 TXT
- How To Convert VGG Image Annotator JSON to Scaled-YOLOv4 TXT
- How To Convert VoTT CSV to Scaled-YOLOv4 TXT
- How To Convert VoTT JSON to Scaled-YOLOv4 TXT
- How To Convert YOLO Darknet TXT to Scaled-YOLOv4 TXT
- How To Convert YOLO Keras TXT to Scaled-YOLOv4 TXT