Labeling

VOC - Visual Object Classes
- Pascal VOC
- XML
  - object, name, bndbox
COCO
- Common Objects in Context
- JSON
  - images, annotations, categories
  - bbox - [x, y, w, h]
YOLO - You Only Look Once
- txt
VGG Image Annotator (VIA)
参考
datumaro

format	spec	adopted by
xyxy	left, top, right, bottom	Pascal VOC
xyxyn		Albumentations
xywh	left, top, width, height	COCO
xywhn
cxcywh	center x, center y, width, height	CreateML
cxcywhn		YOLO

n -> Normalized

YOLO

YOLO Detection

text

class_index x_center y_center width height

YOLO OOB

text

class_index, x1, y1, x2, y2, x3, y3, x4, y4

OOB Oriented Bounding Box

YOLO Segmentation

text

class-index x1 y1 x2 y2 ... xn yn

YOLO Pose Estimation 2D

text

class-index x y width height px1 py1 px2 py2 ... pxn pyn

YOLO Pose Estimation 3D

text

class-index x y width height px1 py1 p1-visibility px2 py2 p2-visibility ... pxn pyn pn-visibility

VOC

xml

<annotation>
    <folder>VOC2012</folder>
    <filename>image1.jpg</filename>
    <size>
        <width>800</width>
        <height>600</height>
        <depth>3</depth>
    </size>
    <object>
        <name>dog</name>
        <pose>Unspecified</pose>
        <truncated>0</truncated>
        <difficult>0</difficult>
        <bndbox>
            <xmin>48</xmin>
            <ymin>240</ymin>
            <xmax>195</xmax>
            <ymax>371</ymax>
        </bndbox>
    </object>
</annotation>

COCO

json

{
  "images": [
    {
      "id": 1,
      "file_name": "image1.jpg",
      "width": 800,
      "height": 600
    }
  ],
  "annotations": [
    {
      "id": 1,
      "image_id": 1,
      "category_id": 18,
      "bbox": [48, 240, 147, 131],
      "segmentation": [],
      "area": 19257,
      "iscrowd": 0
    }
  ],
  "categories": [
    {
      "id": 18,
      "name": "dog",
      "supercategory": "animal"
    }
  ]
}

YOLO

VOC

COCO

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