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OpenImages CSV

A variation on the YOLO Darknet format which removes the need for a labelmap.

Overview

Released by Google with their OpenImages dataset, this annotation format is very similar to YOLO Darknet except it contains several other columns and, instead of a numeric class ID, the class ID is a string of the form /m/xxxxx.

No known models train using the OpenImages annotation format but Roboflow can import these annotations so you can convert them into whatever other format you need!

Format Description

Below, learn the structure of OpenImages CSV.

OpenImages.csv
ImageID,Source,LabelName,Confidence,XMin,XMax,YMin,YMax,IsOccluded,IsTruncated,IsGroupOf,IsDepiction,IsInside
000026e7ee790996,xclick,/m/07j7r,1,0.071875,0.1453125,0.20625,0.39166668,0,1,1,0,0
000026e7ee790996,xclick,/m/07j7r,1,0.4390625,0.571875,0.26458332,0.43541667,0,1,1,0,0
000026e7ee790996,xclick,/m/07j7r,1,0.66875,1,0,0.5520833,0,1,1,0,0
000062a39995e348,xclick,/m/015p6,1,0.20620842,0.849224,0.15463917,1,0,0,0,0,0
000062a39995e348,xclick,/m/05s2s,1,0.13747229,0.37694013,0,0.88365245,1,1,0,0,0
0000c64e1253d68f,xclick,/m/0k4j,1,0,0.5132743,0.32079646,0.6902655,0,1,0,0,0
0000c64e1253d68f,xclick,/m/0k4j,1,0.016224189,0.26843658,0.29867256,0.46238938,1,0,0,0,0
0000c64e1253d68f,xclick,/m/0k4j,1,0.48082596,0.9041298,0.23230088,0.48893806,1,0,0,0,0
0000c64e1253d68f,xclick,/m/0k4j,1,0.7522124,1,0.3318584,0.65707964,0,1,0,0,0
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