Formats
YOLOv4 PyTorch TXT
IMPORTEXPORT
FEATURED

YOLOv4 PyTorch TXT

A format used with the PyTorch port of YOLO v4.

Overview

When YOLOv4 was ported to PyTorch, they decided to use the same annotation format as the Keras implementation of YOLOv3. Because the naming convention was a bit unclear, Roboflow decided that even though the underlying format definition was the same, we would keep the namespaces separate to avoid confusion about which format to use.

Note: this model has been deprecated now that YOLOv5 (PyTorch) has been released. We do not recommend using it anymore. Use YOLOv5 or YOLOv4 Darknet.

Format Description

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
head
helmet
person

Split and Merge Datasets

With Roboflow supervision, an open source Python package with utilities for completing computer vision tasks, you can merge and split detections in YOLOv4 PyTorch TXT. Read our dedicated guides to learn how to merge and split YOLOv4 PyTorch TXT detections.

Split detections in YOLOv4 PyTorch TXT

No items found.

Merge detections in YOLOv4 PyTorch TXT

No items found.

Supported Models

Below, see model architectures that require data in the YOLOv4 PyTorch TXT format when training a new model.

On each page below, you can find links to our guides that show how to plot predictions from the model, and complete other common tasks like detecting small objects with the model.

YOLOv4 PyTorch

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 PyTorch.
Object Detection
Deploy with Roboflow
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4.4k+
stars
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Apache-2.0
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Released

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Formats
YOLOv4 PyTorch TXT

What is YOLOv4 PyTorch TXT?

When YOLOv4 was ported to PyTorch, they decided to use the same annotation format as the Keras implementation of YOLOv3. Because the naming convention was a bit unclear, Roboflow decided that even though the underlying format definition was the same, we would keep the namespaces separate to avoid confusion about which format to use.

Note: this model has been deprecated now that YOLOv5 (PyTorch) has been released. We do not recommend using it anymore. Use YOLOv5 or YOLOv4 Darknet.

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YOLOv4 PyTorch TXT

Below, we show how to convert data to and from

YOLOv4 PyTorch TXT

. We also list popular models that use the

YOLOv4 PyTorch TXT

data format. Our conversion tools are free to use.

CONVERT To
CONVERT From
EXAMPLE

Convert Data to YOLOv4 PyTorch TXT

Use Roboflow to convert
YOLOv4 PyTorch TXT
to the following formats.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get a solution with:
‍

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Convert Data from YOLOv4 PyTorch TXT

Use Roboflow to convert the following formats to
YOLOv4 PyTorch TXT
format.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get:
‍

Free data conversion

SOC II Type 1 Compliant

Trusted by 250,000+ developers

YOLOv8 PyTorch TXT
to
YOLOv4 PyTorch TXT
COCO JSON
to
YOLOv4 PyTorch TXT
Pascal VOC XML
to
YOLOv4 PyTorch TXT
YOLO Darknet TXT
to
YOLOv4 PyTorch TXT
CreateML JSON
to
YOLOv4 PyTorch TXT
Google Cloud AutoML Vision CSV
to
YOLOv4 PyTorch TXT
LabelMe JSON
to
YOLOv4 PyTorch TXT
Sagemaker GroundTruth Manifest
to
YOLOv4 PyTorch TXT
SuperAnnotate JSON
to
YOLOv4 PyTorch TXT
Scale AI JSON
to
YOLOv4 PyTorch TXT
LabelBox JSON
to
YOLOv4 PyTorch TXT
Supervisely JSON
to
YOLOv4 PyTorch TXT
VGG Image Annotator JSON
to
YOLOv4 PyTorch TXT
VGG Image Annotator CSV
to
YOLOv4 PyTorch TXT
VoTT CSV
to
YOLOv4 PyTorch TXT
VoTT JSON
to
YOLOv4 PyTorch TXT
LabelBox Video JSON
to
YOLOv4 PyTorch TXT
IBM Cloud Annotations JSON
to
YOLOv4 PyTorch TXT
Unity Perception JSON
to
YOLOv4 PyTorch TXT
YOLO Keras TXT
to
YOLOv4 PyTorch TXT
OIDv4 TXT
to
YOLOv4 PyTorch TXT
RetinaNet Keras CSV
to
YOLOv4 PyTorch TXT
OpenImages CSV
to
YOLOv4 PyTorch TXT
Tensorflow Object Detection CSV
to
YOLOv4 PyTorch TXT
Multiclass Classification CSV
to
YOLOv4 PyTorch TXT
Cogniac
to
YOLOv4 PyTorch TXT
Udacity TXT
to
YOLOv4 PyTorch TXT
Marmot XML
to
YOLOv4 PyTorch TXT
Kaggle Wheat CSV
to
YOLOv4 PyTorch TXT
Roboflow is a trusted solution for converting and managing your data. Today, over 100,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

Once your data is in Roboflow, just add the link from your dataset and you're ready to go. We even include the code to export to common inference formats like TFLite, ONNX, and CoreML.

Below are pre-configured models that use the
YOLOv4 PyTorch TXT
data format
.

What computer vision models use YOLOv4 PyTorch TXT?

The

YOLOv4 PyTorch

,

models all use the

YOLOv4 PyTorch TXT

data format.

YOLOv4 PyTorch

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 PyTorch.

To see our entire list of computer vision models, check out the Roboflow Model Library.
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
head
helmet
person
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