Scaled-YOLOv4 TXT Annotation Format

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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

Use Roboflow to convert

Scaled-YOLOv4 TXT

to the following formats.

Use Roboflow to convert the following formats to

Scaled-YOLOv4 TXT

format.

Google Cloud AutoML Vision CSV

Scaled-YOLOv4 TXT

Sagemaker GroundTruth Manifest

VGG Image Annotator JSON

Scaled-YOLOv4 TXT

VGG Image Annotator CSV

IBM Cloud Annotations JSON

Scaled-YOLOv4 TXT

Unity Perception JSON

Tensorflow Object Detection CSV

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']