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Scaled-YOLOv4 TXT
Scaled-YOLOv4 TXT

Scaled-YOLOv4 was released in December 2020 and improves on YOLOv4 and YOLOv5 to achieve state of the art performance on the COCO dataset. It uses the same format as YOLOv5, which is a modified version of YOLO Darknet's TXT annotation format, but we've split it out into a separate download format for clarity.

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We have a how to train Scaled-YOLOv4 tutorial available that consumes this format and provide many public datasets in Scaled-YOLOv4 format.

Scaled-YOLOv4 TXT

CONVERT To
CONVERT From
MODELS
EXAMPLE
Use Roboflow to convert
Scaled-YOLOv4 TXT
to the following formats.
Use Roboflow to convert the following formats to
Scaled-YOLOv4 TXT
format.
Pascal VOC XML
to
Scaled-YOLOv4 TXT
COCO JSON
to
Scaled-YOLOv4 TXT
YOLO Darknet TXT
to
Scaled-YOLOv4 TXT
CreateML JSON
to
Scaled-YOLOv4 TXT
SuperAnnotate JSON
to
Scaled-YOLOv4 TXT
LabelMe JSON
to
Scaled-YOLOv4 TXT
Google Cloud AutoML Vision CSV
to
Scaled-YOLOv4 TXT
Sagemaker GroundTruth Manifest
to
Scaled-YOLOv4 TXT
Supervisely JSON
to
Scaled-YOLOv4 TXT
LabelBox JSON
to
Scaled-YOLOv4 TXT
Scale AI JSON
to
Scaled-YOLOv4 TXT
VGG Image Annotator JSON
to
Scaled-YOLOv4 TXT
VGG Image Annotator CSV
to
Scaled-YOLOv4 TXT
LabelBox Video JSON
to
Scaled-YOLOv4 TXT
VoTT CSV
to
Scaled-YOLOv4 TXT
VoTT JSON
to
Scaled-YOLOv4 TXT
IBM Cloud Annotations JSON
to
Scaled-YOLOv4 TXT
Unity Perception JSON
to
Scaled-YOLOv4 TXT
OIDv4 TXT
to
Scaled-YOLOv4 TXT
YOLO Keras TXT
to
Scaled-YOLOv4 TXT
RetinaNet Keras CSV
to
Scaled-YOLOv4 TXT
OpenImages CSV
to
Scaled-YOLOv4 TXT
Tensorflow Object Detection CSV
to
Scaled-YOLOv4 TXT
Kaggle Wheat CSV
to
Scaled-YOLOv4 TXT
Udacity TXT
to
Scaled-YOLOv4 TXT
Marmot XML
to
Scaled-YOLOv4 TXT
Here are pre-configured models that use
Scaled-YOLOv4 TXT
. 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.
We don't currently have models that use this annotation format.
To see our entire list of computer vision models, check out the Roboflow Model Library.
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 0.17167381974248927
data.yaml
train: ../train/images
val: ../valid/images

nc: 3
names: ['head', 'helmet', 'person']