Export annotations and data from CVAT (original) (raw)

List of data export formats formats supported by 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
Exporting dataset in CVAT
- Exporting dataset from Task
- Exporting dataset from Job
Data export video tutorial

Data export formats

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

Format	Type	Computer Vision Task	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	SemanticSegmentation	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 Keypoints 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	Any in 2D except for Video Tracking	Any model that can decode the format.	Bounding Boxes, Polygons, Polylines, Points, Cuboids, Skeletons, Ellipses, Masks, Tags.	All attributes	Not supported
CVAT for video 1.1	.xml	Any in 2D except for Classification	Any model that can decode the format.	Bounding Boxes, Polygons, Polylines, Points, Cuboids, Skeletons, Ellipses, Masks.	All attributes	Supported
Datumaro 1.0	JSON	Any	Any model that can decode the format. Main format in Datumaro framework	Bounding Boxes, Polygons, Polylines, Points, Cuboids, Skeletons, Ellipses, Masks, Tags.	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	Specific attributes	Supported
MOTS PNG 1.0	.png.txt	Video Tracking, Detection	SORT, MOT-Net, IOU Tracker, and others.	Bounding Boxes, Masks	Specific attributes	Supported
Open Images 1.0	.csv	Detection, Classification, Semantic Segmentation	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
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
Ultralytics YOLO Detection 1.0	.txt	Detection	YOLOv8	Bounding Boxes	No attributes	Supported
Ultralytics YOLO Segmentation 1.0	.txt	Instance Segmentation	YOLOv8	Polygons, Masks	No attributes	Supported
Ultralytics YOLO Pose 1.0	.txt	Keypoints	YOLOv8	Skeletons	No attributes	Supported
Ultralytics YOLO Oriented Bounding Boxes 1.0	.txt	Detection	YOLOv8	Bounding Boxes	No attributes	Supported
Ultralytics YOLO Classification 1.0	.jpg	Classification	YOLOv8	Tags	No attributes	Not supported

Exporting dataset in CVAT

Exporting dataset from Task

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

Open Task.
Go to Actions > Export task dataset.
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.

Exporting dataset from Job

To export a dataset from Job follow these steps:

Navigate to Menu > Export job dataset.
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.