Export annotations and data from CVAT

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

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:

  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: