The keypoint format used by YOLOv8.
Below, learn the structure of YOLOv8 Keypoint TXT.
0 0.33515625 0.559375 0.2921875 0.26328125 0.208915625 0.6171 2 0.45184687500000004 0.5011 2
0 0.6328125 0.40625 0.259375 0.18203125 0.7456578125 0.37599062499999997 2 0.5106328125 0.460821875 2
With Roboflow supervision, an open source Python package with utilities for completing computer vision tasks, you can merge and split detections in YOLOv8 Keypoint TXT. Read our dedicated guides to learn how to merge and split YOLOv8 Keypoint TXT detections.
Below, see model architectures that require data in the YOLOv8 Keypoint 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.
The keypoint format used by YOLOv8.
With Roboflow, you can deploy a computer vision model without having to build your own infrastructure.
Below, we show how to convert data to and from
YOLOv8 Keypoint TXT
. We also list popular models that use the
YOLOv8 Keypoint TXT
data format. Our conversion tools are free to use.
Free data conversion
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Free data conversion
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The
models all use the
data format.
0 0.33515625 0.559375 0.2921875 0.26328125 0.208915625 0.6171 2 0.45184687500000004 0.5011 2
0 0.6328125 0.40625 0.259375 0.18203125 0.7456578125 0.37599062499999997 2 0.5106328125 0.460821875 2