YOLOv8 PyTorch TXT
to
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.
We have a how to train Scaled-YOLOv4 tutorial available that consumes this format and provide many public datasets in Scaled-YOLOv4 format.
With Roboflow, you can deploy a computer vision model without having to build your own infrastructure.
The
Scaled YOLOv4
,
models all use the
data format.
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
train: ../train/images
val: ../valid/images
nc: 3
names: ['head', 'helmet', 'person']