Download Data

Export Annotations JSON

Each entity in our system has a JSON code that represents its data within our system.

This JSON code includes the entity's data related to our software and its metadata.

• Annotation JSON format
• Video Annotation JSON format
• Item JSON format

Export annotations JSON for entire Dataset

In the project overview page, click the 3-dot action button for a specific dataset. Then select “Export Data” to download a ZIP file containing a separate JSON file per item in the dataset.

Export annotations JSON for filtered/queried/selected items

Exporting annotations JSON files for specific items from a dataset (either filtered, searched for, or manually selected) is done from the Dataset browser.

Click the download icon and select from the pop up dialog box
a. the scope of the export – whether you wish to export the entire dataset, selected items, or active search query
b. the content of the export – whether to include the annotations json files

Export COCO/YOLO/VOC annotations

In addition to the Dataloop format, annotations can be exported in standard formats: YOLO, COCO, and VOC.

1 0.1930234375 0.1896117647058823 0.04320312499999999 0.19376470588235292
1 0.44302343750000006 0.18615294117647055 0.06342187500000006 0.23390588235294116
2 0.8295 0.2048470588235294 0.1158125000000001 0.32941176470588235

<annotation>
    <folder></folder>
    <filename>000000000785.jpg</filename>
    <path>/000000000785.jpg</path>
    <source>
        <database>Unknown</database>
    </source>
    <size>
        <width>640</width>
        <height>425</height>
        <depth>3</depth>
    </size>
    <segmented>0</segmented>
    <object>
        <name>aaa.abc</name>
        <attributes>['all']</attributes>
        <bndbox>
            <xmin>178.53</xmin>
            <ymin>353.53</ymin>
            <xmax>485.0</xmax>
            <ymax>379.40999999999997</ymax>
        </bndbox>
    </object>    <object>
        <name>aaa.abc</name>
        <attributes>[]</attributes>
        <bndbox>
            <xmin>264.41674989846524</xmin>
            <ymin>366.4664705882353</ymin>
            <xmax>542.6488235294119</xmax>
            <ymax>407.0564705882353</ymax>
        </bndbox>
    </object>    <object>
        <name>aaa</name>
        <attributes>[]</attributes>
        <bndbox>
            <xmin>0.0</xmin>
            <ymin>288.82529411764705</ymin>
            <xmax>640.0</xmax>
            <ymax>344.7052941176471</ymax>
        </bndbox>
    </object>
</annotation>

{
    "images": [
        {
            "file_name": "buffalo.jfif",
            "id": 0,
            "width": 266,
            "height": 189
        }
    ],
    "info": {
        "description": "test-filter"
    },
    "annotations": [
        {
            "bbox": [
                87.61609907120743,
                36.0945516235873,
                16.408668730650163,
                25.67136045563028
            ],
            "segmentation": [
                [
                    87.61609907120743,
                    41.66183461396495,
                    92.26006191950465,
                    36.0945516235873,
                    97.52321981424149,
                    38.568899619310706,
                    100.30959752321982,
                    42.2804216128958,
                    104.02476780185759,
                    58.98227058402874,
                    96.90402476780187,
                    61.76591207921758,
                    93.49845201238391,
                    60.52873808135587,
                    93.49845201238391,
                    54.961455090978234,
                    89.78328173374614,
                    51.24993309739312,
                    89.78328173374614,
                    47.2291176043426,
                    88.54489164086688,
                    45.9919436064809
                ]
            ],
            "area": 289,
            "iscrowd": 0,
            "category_id": 2,
            "image_id": 0,
            "id": 0
        }
    ],
    "categories": [
        {
            "id": 1,
            "name": "other"
        },
        {
            "id": 2,
            "name": "tree"
        }
    ]
}

1. Got into the dataset browser of a specific dataset
2. Click the “Applications” button and select the desired format - a ZIP file will be downloaded, containing JSON files for the items.

Single file item export

Annotations of a specific file can be exported in one of two ways:

1. From the Dataset browser - select the file, and use the “Export data” button
2. From the annotation studio
   A. Open the file item in the annotation studio (from a specific task/assignment, or by double-clicking it in the dataset browser)
   B. On the right-side panel, switch to the “ITEM” tab
   C. Select the “Download Annotations” button and choose between "Export Annotations" and "Export mask".
   + Export Annotations - export annotation in Dataloop JSON format.
   + Export Mask - for items annotated with semantic segmentation, a mask file can be downloaded in PNG format.

File items download

The dataset browser enables downloading file items to your local file system.

• Quickly download a single item by right-clicking it and selecting download.
• For a more detailed download of a single item or multiple items, click the item/s you wish to download (to select multiple items hold Ctrl or Shift and click the items you wish to select) and click the download dataset icon .

In the dialog box, check Selected items and the content you wish to download (e.g., Data item, Annotations JSON file, Include PNG per semantic label), and click Export.