AnnotatePlus

In AnnotatePlus, you have the option to export data in various formats. The choice of export format depends on the type of annotation as well as the intended future use of the dataset.

See:

Data export formats

The table below outlines the available formats for data export in CVAT.

FormatTypeComputer Vision TaskModelsShapesAttributesVideo Tracks
CamVid 1.0.txt <br />.pngSemantic <br />SegmentationU-Net, SegNet, DeepLab, <br />PSPNet, FCN, Mask R-CNN, <br />ICNet, ERFNet, HRNet, <br />V-Net, and others.PolygonsNot supportedNot supported
Cityscapes 1.0.txt<br />.pngSemantic<br />SegmentationU-Net, SegNet, DeepLab, <br />PSPNet, FCN, ERFNet, <br />ICNet, Mask R-CNN, HRNet, <br />ENet, and others.PolygonsSpecific attributesNot supported
COCO 1.0JSONDetection, Semantic <br />SegmentationYOLO (You Only Look Once), <br />Faster R-CNN, Mask R-CNN, SSD (Single Shot MultiBox Detector), <br /> RetinaNet, EfficientDet, UNet, <br />DeepLabv3+, CenterNet, Cascade R-CNN, and others.Bounding Boxes, PolygonsSpecific attributesNot supported
COCO Keypoints 1.0.xmlKeypointsOpenPose, PoseNet, AlphaPose, <br /> SPM (Single Person Model), <br />Mask R-CNN with Keypoint Detection:, and others.SkeletonsSpecific attributesNot supported
CVAT for images 1.1.xmlAny in 2D except for Video TrackingAny model that can decode the format.Bounding Boxes, Polygons, <br />Polylines, Points, Cuboids, <br />Skeletons, Ellipses, Masks, Tags.All attributesNot supported
CVAT for video 1.1.xmlAny in 2D except for ClassificationAny model that can decode the format.Bounding Boxes, Polygons, <br />Polylines, Points, Cuboids, <br />Skeletons, Ellipses, Masks.All attributesSupported
Datumaro 1.0JSONAnyAny model that can decode the format. <br /> Main format in Datumaro frameworkBounding Boxes, Polygons, <br />Polylines, Points, Cuboids, <br />Skeletons, Ellipses, Masks, Tags.All attributesSupported
ICDAR<br /> Includes ICDAR Recognition 1.0, <br />ICDAR Detection 1.0, <br />and ICDAR Segmentation 1.0 <br />descriptions..txtText recognition, <br />Text detection, <br />Text segmentationEAST: Efficient and Accurate <br />Scene Text Detector, CRNN, Mask TextSpotter, TextSnake, <br />and others.Tag, Bounding Boxes, PolygonsSpecific attributesNot supported
ImageNet 1.0.jpg <br />.txtSemantic Segmentation, <br />Classification, <br />DetectionVGG (VGG16, VGG19), Inception, YOLO, Faster R-CNN , U-Net, and othersTagsNo attributesNot supported
KITTI 1.0.txt <br />.pngSemantic Segmentation, Detection, 3DPointPillars, SECOND, AVOD, YOLO, DeepSORT, PWC-Net, ORB-SLAM, and others.Bounding Boxes, PolygonsSpecific attributesNot supported
LabelMe 3.0.xmlCompatibility, <br />Semantic SegmentationU-Net, Mask R-CNN, Fast R-CNN,<br /> Faster R-CNN, DeepLab, YOLO, <br />and others.Bounding Boxes, PolygonsSupported (Polygons)Not supported
LFW 1.0.txtVerification, <br />Face recognitionOpenFace, VGGFace & VGGFace2, <br />FaceNet, ArcFace, <br />and others.Tags, SkeletonsSpecific attributesNot supported
Market-1501 1.0.txtRe-identificationTriplet Loss Networks, <br />Deep ReID models, and others.Bounding BoxesSpecific attributesNot supported
MOT 1.0.txtVideo Tracking, <br />DetectionSORT, MOT-Net, IOU Tracker, <br />and others.Bounding BoxesSpecific attributesSupported
MOTS PNG 1.0.png<br />.txtVideo Tracking, <br />DetectionSORT, MOT-Net, IOU Tracker, <br />and others.Bounding Boxes, MasksSpecific attributesSupported
Open Images 1.0.csvDetection, <br />Classification, <br />Semantic SegmentationFaster R-CNN, YOLO, U-Net, <br />CornerNet, and others.Bounding Boxes, Tags, PolygonsSpecific attributesNot supported
PASCAL VOC 1.0.xmlClassification, DetectionFaster R-CNN, SSD, YOLO, <br />AlexNet, and others.Bounding Boxes, Tags, PolygonsSpecific attributesNot supported
Segmentation Mask 1.0.txtSemantic SegmentationFaster R-CNN, SSD, YOLO, <br />AlexNet, and others.PolygonsNo attributesNot supported
VGGFace2 1.0.csvFace recognitionVGGFace, ResNet, Inception, <br /> and others.Bounding Boxes, PointsNo attributesNot supported
WIDER Face 1.0.txtDetectionSSD (Single Shot MultiBox Detector), Faster R-CNN, YOLO, <br />and others.Bounding Boxes, TagsSpecific attributesNot supported
YOLO 1.0.txtDetectionYOLOv1, YOLOv2 (YOLO9000), <br />YOLOv3, YOLOv4, and others.Bounding BoxesNo attributesNot supported
Ultralytics YOLO Detection 1.0.txtDetectionYOLOv8Bounding BoxesNo attributesNot supported
Ultralytics YOLO Segmentation 1.0.txtInstance SegmentationYOLOv8Polygons, MasksNo attributesNot supported
Ultralytics YOLO Pose 1.0.txtKeypointsYOLOv8SkeletonsNo attributesNot supported
Ultralytics YOLO Oriented Bounding Boxes 1.0.txtDetectionYOLOv8Bounding BoxesNo attributesNot supported
Ultralytics YOLO Classification 1.0.jpgClassificationYOLOv8TagsNo attributesNot supported

Exporting dataset in AnnotatePlus

Exporting dataset from Task

To export the dataset from the task, follow these steps:

  1. Open Task.

  2. Go to Actions > Export task dataset.

  3. Choose the desired format from the list of available options.

  4. (Optional) Toggle the Save images switch if you wish to include images in the export.

    Note: The Save images option is a paid feature.

    Save images option

  5. Input a name for the resulting .zip archive.

  6. Click OK to initiate the export.

Exporting dataset from Job

To export a dataset from Job follow these steps:

  1. Navigate to Menu > Export job dataset.

    Export dataset

  2. Choose the desired format from the list of available options.

  3. (Optional) Toggle the Save images switch if you wish to include images in the export.

    Note: The Save images option is a paid feature.

    Save images option

  4. Input a name for the resulting .zip archive.

  5. Click OK to initiate the export.

Data export video tutorial

For more information on the process, see the following tutorial: