Export annotations and data from CVAT
In CVAT, 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.
Format | Type | Annotation Type | Models | Shapes | Attributes | Video Tracks |
---|---|---|---|---|---|---|
CamVid 1.0 | .txt .png |
Semantic Segmentation |
U-Net, SegNet, DeepLab, PSPNet, FCN, Mask R-CNN, ICNet, ERFNet, HRNet, V-Net, and others. |
Polygons | Not supported | Not supported |
Cityscapes 1.0 | .txt .png |
Semantic Segmentation |
U-Net, SegNet, DeepLab, PSPNet, FCN, ERFNet, ICNet, Mask R-CNN, HRNet, ENet, and others. |
Polygons | Specific attributes | Not supported |
COCO 1.0 | JSON | Detection, Semantic Segmentation |
YOLO (You Only Look Once), Faster R-CNN, Mask R-CNN, SSD (Single Shot MultiBox Detector), RetinaNet, EfficientDet, UNet, DeepLabv3+, CenterNet, Cascade R-CNN, and others. |
Bounding Boxes, Polygons | Specific attributes | Not supported |
COCO Keypoings 1.0 | .xml | Keypoints | OpenPose, PoseNet, AlphaPose, SPM (Single Person Model), Mask R-CNN with Keypoint Detection:, and others. |
Skeletons | Specific attributes | Not supported |
CVAT for images 1.1 | .xml | Universal format for all types of annotations. |
Universal format for all types of models. |
Bounding Boxes, Polygons, Polylines, Points, Cuboids, Skeletons, Tags. |
All attributes | Not supported |
CVAT for video 1.1 | .xml | Universal format for all types of annotations. |
Universal format for all types of annotations. |
Bounding Boxes, Polygons, Polylines, Points, Cuboids, Skeletons, Tags, Tracks. |
All attributes | Supported |
Datumaro 1.0 | JSON | Universal format for all types of annotations. |
Universal format for all types of models. |
Bounding Boxes, Polygons, Polylines, Points, Cuboids, Skeletons, Tags, Tracks. |
All attributes | Supported |
ICDAR Includes ICDAR Recognition 1.0, ICDAR Detection 1.0, and ICDAR Segmentation 1.0 descriptions. |
.txt | Text recognition, Text detection, Text segmentation |
EAST: Efficient and Accurate Scene Text Detector, CRNN, Mask TextSpotter, TextSnake, and others. |
Tag, Bounding Boxes, Polygons | Specific attributes | Not supported |
ImageNet 1.0 | .jpg .txt |
Semantic Segmentation, Classification, Detection |
VGG (VGG16, VGG19), Inception, YOLO, Faster R-CNN , U-Net, and others | Tags | No attributes | Not supported |
KITTI 1.0 | .txt .png |
Semantic Segmentation, Detection, 3D | PointPillars, SECOND, AVOD, YOLO, DeepSORT, PWC-Net, ORB-SLAM, and others. | Bounding Boxes, Polygons | Specific attributes | Not supported |
LabelMe 3.0 | .xml | Compatibility, Semantic Segmentation |
U-Net, Mask R-CNN, Fast R-CNN, Faster R-CNN, DeepLab, YOLO, and others. |
Bounding Boxes, Polygons | Supported (Polygons) | Not supported |
LFW 1.0 | .txt | Verification, Face recognition |
OpenFace, VGGFace & VGGFace2, FaceNet, ArcFace, and others. |
Tags, Skeletons | Specific attributes | Not supported |
Market-1501 1.0 | .txt | Re-identification | Triplet Loss Networks, Deep ReID models, and others. |
Bounding Boxes | Specific attributes | Not supported |
MOT 1.0 | .txt | Video Tracking, Detection |
SORT, MOT-Net, IOU Tracker, and others. |
Bounding Boxes, Tracks | Specific attributes | Supported |
MOTS PNG 1.0 | .png .txt |
Video Tracking, Detection |
SORT, MOT-Net, IOU Tracker, and others. |
Bounding Boxes, Tracks, Masks | Specific attributes | Supported |
Open Images 1.0 | .csv | Detection, Classification, Semantic Segmentaion |
Faster R-CNN, YOLO, U-Net, CornerNet, and others. |
Bounding Boxes, Tags, Polygons | Specific attributes | Not supported |
PASCAL VOC 1.0 | .xml | Classification, Detection | Faster R-CNN, SSD, YOLO, AlexNet, and others. |
Bounding Boxes, Tags, Polygons | Specific attributes | Not supported |
Segmentation Mask 1.0 | .txt | Semantic Segmentation | Faster R-CNN, SSD, YOLO, AlexNet, and others. |
Polygons | No attributes | Not supported |
TFRecord 1.0 | .pbtxt | Detection Classification |
SSD, Faster R-CNN, YOLO, GG16, ResNet, Inception, MobileNet, and others. |
Bounding Boxes, Polygons | No attributes | Not supported |
VGGFace2 1.0 | .csv | Face recognition | VGGFace, ResNet, Inception, and others. |
Bounding Boxes, Points | No attributes | Not supported |
WIDER Face 1.0 | .txt | Detection | SSD (Single Shot MultiBox Detector), Faster R-CNN, YOLO, and others. |
Bounding Boxes, Tags | Specific attributes | Not supported |
YOLO 1.0 | .txt | Detection | YOLOv1, YOLOv2 (YOLO9000), YOLOv3, YOLOv4, and others. |
Bounding Boxes | No attributes | Not supported |
Exporting dataset in CVAT
Exporting dataset from Task
To export the dataset from the task, follow these steps:
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Open Task.
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Go to Actions > Export task dataset.
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Choose the desired format from the list of available options.
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(Optional) Toggle the Save images switch if you wish to include images in the export.
Note: The Save images option is a paid feature.
-
Input a name for the resulting
.zip
archive. -
Click OK to initiate the export.
Exporting dataset from Job
To export a dataset from Job follow these steps:
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Navigate to Menu > Export job dataset.
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Choose the desired format from the list of available options.
-
(Optional) Toggle the Save images switch if you wish to include images in the export.
Note: The Save images option is a paid feature.
-
Input a name for the resulting
.zip
archive. -
Click OK to initiate the export.
Data export video tutorial
For more information on the process, see the following tutorial: