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Resources
DatasetResource
Represents the metadata of a dataset.
Properties
Property | Value | Description |
|---|---|---|
dataset_id | string | Id of the dataset |
client_id | string | Id of the workspace the dataset belongs to |
dataset_name | string | Name of the dataset |
pipeline_spec | array | Labelling stages for the dataset with stage_id and edit permission. |
pipeline_status_by_label_set_id | object | Number of tasks in each label set id in each stage for each task status type |
sensor_config | object | Instance of SensorConfigResource |
uploaded_files | array | List of uploaded files |
fps | integer | Fps (Frames per second) information for video type datasets |
frame_sizes | array | List of number of points in each frame for point cloud datasets |
create_timestamp_millis | float | Timestamp at which dataset was created |
dataset_format | string | Format of uploaded file for Point Cloud datasets |
dataset_type | string | Type of dataset (images, videos, 3d) |
labelling_mode | string | Labelling mode for the dataset
|
tags | array | List of TagResource |
files | array | Array of file metadata objects. Each object represents metadata about a file being uploaded as part of the dataset. |
current_stage | string | Possible values for current stage: "FileUpload", "Processing", "Labelling", "Audit" |
current_stage_status | string | Possible values for current stage status: "waiting", "ready", "in_progress", "done" |
user_scopes | array | Array of DatasetUserScopeResource |
user_group_scopes | array | Array of DatasetUserGroupScopeResource |
Example
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{
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"dataset_id": "dataset_id",
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"client_id": "client_id",
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"create_timestamp_millis": 1591397296799,
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"dataset_format": "json",
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"dataset_name": "dataset_name",
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"dataset_type": "3d",
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"files": [
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{
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"file_size": 18611529.0,
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"file_type": "application/zip",
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"resumable_upload_url": "https://www.googleapis.com/upload/storage/v1/b/url_for_file"
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}
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],
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"labelling_mode": "frame_by_frame",
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"processing_status": "files_getting_labelled",
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"tags": [],
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"uploaded_files": [
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"json_data.zip"
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],
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"processing_status_message": "Processing Json Files",
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"sensor_config": {
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"primary_sensor_id": "lidar",
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"sensors": {
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"lidar": {
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"content": "path_to_lidar",
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"sensor_type": "lidar",
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"calibration": {},
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"square_dimensions": [],
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"sensor_fusion": {
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"camera_0": {
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"view_matrix": [
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[1, 0, 0, 0],
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[0, 1, 0, 0],
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[0, 0, 0, 1],
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[0, 0, 1, 0]
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]
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}
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}
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},
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"camera_0": {
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"content": "path_to_camera_0_img",
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"sensor_type": "camera",
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"extension": "jpg",
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"calibration": {},
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"square_dimensions": [],
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"sensor_fusion": {}
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}
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}
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},
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"folder_path": "clent_id/defaultproject/dataset_id",
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"frame_sizes": [51162, 51156, 51102, 51046, 51068, 51064, 51041, 50953, 51064, 51065, 51065],
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"pipeline_spec": [
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{
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"stage_id": "Labelling",
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"can_edit": true
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},
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{
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"stage_id": "QA",
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"can_edit": false
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}
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],
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"current_stage": "Labelling",
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"current_stage_status": "ready",
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"pipeline_status_by_label_set_id": {
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"default": {
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"Labelling": {
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"done": 0,
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"failed": 0,
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"in_progress": 0,
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"ready": 0,
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"waiting": 0
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},
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"QA": {
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"done": 0,
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"failed": 0,
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"in_progress": 0,
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"ready": 0,
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"waiting": 0
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}
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}
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}
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}
Represents the metadata of a Label.
Properties
Property | Type | Description |
|---|---|---|
file_id | string | File Id of the label resource |
label_type | string | Label type of label resource |
label_category_id | string | Label category Id of the label resource |
label_id | string | Label Id of the label resource |
box | array | Array of four float numbers representing the x, y coordinates, x-length, y-length of the box respectively. |
polygons | array | Array of polygons. Each polygon is an array of points. |
attributes | object | Object containing key value pairs of attribute keys and values. |
Example
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{
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"file_id": "000019.png",
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"label_category_id": "bus",
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"label_id": "bus:1",
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"label_type": "box",
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"attributes": {
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"attribute2": "attribute2_value1",
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"attribute1": "attribute_value1"
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},
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"box": [366, 87, 174, 116],
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"polygons": [
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[[338, 330], [460, 253], [567, 179], [773, 91], [862, 59]]
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]
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}
Represents the metadata of a file.
Properties
Property | Type | Description |
|---|---|---|
file_id | string | File Id of the file resource |
Example
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{
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"file_id": "000009.png",
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}
Represents a notification from Deepen AI. Currently, we support notification from Depeen AI after labelling of a dataset is complete. The url to notify should be configured at the dataset level.
Properties
Property | Type | Description |
|---|---|---|
dataset_id | string | Dataset Id of the notification |
file_id | string | File Id of the notification |
notification_type | string | Represents the type of notification. Currently, we support two notification types: DatasetLabellingComplete: Sent after the dataset is completely labelled FileLabellingComplete: Send after an individual file is labelled. |
Example
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{
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"dataset_id": "testdataset",
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"notification_type": "DatasetLabellingComplete"
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}
Represents the metadata of an Issue.
Properties
Property | Type | Description |
|---|---|---|
issue_id | string | Issue Id of the issue resource |
status | string | Status of the issue resource |
issue_description | string | Description of the issue resource |
file_id | string | File Id of the issue resource |
author_email | string | Email of author for issue resource |
label_category | string | Label category of the issue resource |
label_id | string | Label Id of the issue resource |
issue_creation_timestamp | Object (date) | Created time for issue resource in millis |
region | Extruded polygon defining the region for the issue. |
Example
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{
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"issues": [
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{
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"author_email": "[email protected]",
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"issue_title": "test Issue",
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"label_id": "test",
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"issue_creation_timestamp": {
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"$date": 1551194067161
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},
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"issue_description": "Issue Description",
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"issue_id": "6005288",
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"status": "to do",
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"label_category": "test",
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"region": {
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"extruded_polygon": {
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"center_z": 1.0,
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"xy_polygon": [
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[1.0, 2.0],
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[3.0, 4.0],
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[5.0, 6.0]
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],
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"height": 1.0
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}
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}
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}
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]
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}
Represents the metadata of a task.
Properties
Property | Type | Description |
|---|---|---|
task_id | string | Id of the task resource |
status | string | Status of the task resource |
client_id | string | Client_id of client |
file_id | string | File Id of the task resource |
email | string | Assigned user email for task resource |
label_category_id | string | Label category of the task resource |
sensor_id | string | Sensor Id of the task resource |
stage_id | string | Stage Id of the task resource |
label_id | string | Label Id of the task resource |
label_type | string | Label type of task resource |
task_type | string | Task type of task resource. File for a single frame Label for sequence |
dataset_id | string | dataset_id of dataset |
previous_task_ids | List | List of task ids to be completed before starting a task (Note: It will not have previous_task_ids if the particular task is 1st task) |
next_task_ids | List | List of task ids to be started after completion of a task (Note: It will not have next_task_ids if the particular task is last task) |
history | List | List of changed events containing list of changed events which contains changed_by_email, timestamp_millis, from_status, to_status (Note: It will not have history if there is no relevant history for particular task) |
Example
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{
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"label_tasks": [
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{
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"task_id": "12345",
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"client_id": "test client",
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"dataset_id": "test dataset",
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"label_type": "box",
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"label_category_id": "car",
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"label_id": "car:1",
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"sensor_id": "lidar",
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"status": "ready",
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"stage_id": "labelling",
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"email": "[email protected]",
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"next_task_ids": [12345],
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"previous_task_ids": [12345678],
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}
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]
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}
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{
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"file_tasks": [
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{
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"task_id": "12345",
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"client_id": "test client",
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"dataset_id": "test dataset",
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"file_id": "test file",
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"status": "ready",
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"stage_id": "labelling",
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"email": "[email protected]",
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"next_task_ids": [12345],
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"previous_task_ids": [12345678],
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}
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]
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}
Represents the details of an embedded viewer.
Properties
Property | Type | Description |
|---|---|---|
client_id | string | clientId of the viewer |
create_timestamp_millis | long | Created timestamp millis of viewer |
dataset_id | string | datasetId of the viewer |
jwt_token | string | Access token |
viewer_id | string | viewerId of viewer |
launching_frame_index | int | Frame id of viewer |
title | string | Name of viewer |
enable_camera_view | boolean | Flag to show camera |
expiry_timestamp_millis | long | End timestamp millis of viewer |
deletion_status | string | Deletion status of viewer |
created_by | string | User created viewer |
Example
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{
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"client_id": "testclient",
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"dataset_id": "testdataset",
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"jwt_token": "xtlz1235",
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"viewer_id": "1234567",
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"create_timestamp_millis": 100000000000,
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"title": "testviewer",
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"launching_frame_index": 1,
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"enable_camera_view": true,
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"expiry_timestamp_millis": 100000000000,
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"created_by": "[email protected]"
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}
Properties
Property | Type | Description |
|---|---|---|
center_z | float | Z value of center for the extruded polygon |
xy_polygon | list(list(float)) | List of xy points for the polygon. First point is the x value and second is the y value. |
height | float | Height of the polygon |
Example
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{
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"extruded_polygon": {
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"center_z": 1.0,
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"xy_polygon": [
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[ 1.0, 2.0 ],
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[ 3.0, 4.0 ],
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[ 5.0, 6.0 ]
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],
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"height": 1.0
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}
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}
Represents the details of a pipeline stage.
Properties
Property | Type | Description |
|---|---|---|
stage_id | string | Id of the pipeline stage |
can_edit | boolean | Flag representing the editability of labels present in this stage. |
Example
// Some codejson
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{
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"stage_id": "Labelling",
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"can_edit": "true"
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}
Properties
Property | Type | Description |
|---|---|---|
dataset_id | string | Id of the dataset |
client_id | string | Id of the client |
created_email | string | Email of author for labelling profile resource |
created_timestamp_millis | long | Timestamp during creation |
features | Object | Object with keys as label types (‘box’, ‘3d_bbox’, ‘polygon’, ‘lane’ etc) and value of type FeaturesResource |
instructions | Object | |
notification_url | string | |
pipeline_spec | Object | Pipeline stages |
profile_id | string | Id of profile |
profile_type | string | Type of profile, e.g : dataset |
updated_email | string | Email of the user who modifies it |
updated_timestamp_millis | long | Timestamp during modification |
Example
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{
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"dataset_id" : "datset_id",
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"client_id" : "client_id",
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"created_email" : "[email protected]",
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"created_timestamp_millis" : 1590037884298,
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"features" : {
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"box" : {
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"attributes" : {},
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"label_category_ids" : []
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},
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"lane" : {
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"attributes" : {},
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"label_category_ids" : []
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},
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"polygon" : {
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"attributes" : {},
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"label_category_ids" : []
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},
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"point" : {
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"attributes" : {},
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"label_category_ids" : []
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},
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"3d_bbox" : {
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"attributes" : {},
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"label_category_ids" : [
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"car"
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],
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"label_category_default_dimensions" : {
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"car" : {
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"width" : 2.25,
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"height" : 2.25,
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"length" : 2.25
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}
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}
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},
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"3d_polyline" : {
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"attributes" : {},
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"label_category_ids" : []
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},
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"3d_polygon" : {
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"attributes" : {},
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"label_category_ids" : []
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},
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"3d_point" : {
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"attributes" : {},
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"label_category_ids" : []
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},
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"3d_instance_point" : {
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"attributes" : {},
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"label_category_ids" : []
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}
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},
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"instructions" : {
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"text" : ""
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},
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"notification_url" : "",
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"pipeline_spec" : [
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{
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"stage_id" : "Labelling",
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"can_edit" : true
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},
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{
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"stage_id" : "QA",
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"can_edit" : false
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}
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],
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"profile_id" : "profile_id",
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"profile_type" : "dataset",
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"updated_email" : "[email protected]",
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"updated_timestamp_millis" : 1590038192070
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}
Represents the tag details for a dataset. A tag is basically any string that can be used to identify or categories the datasets. For backward compatibility with projects, we define a special tag starting with “project:”. This will enable you to group datasets by project and you can use these tags to filter the datasets. For api calls, a sample tags field will look like below.
Example
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{
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"tags": ["project: testDeepenProject", "testtag"]
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}
Properties
Property | Type | Description |
|---|---|---|
email | string | Email of the user |
scopes | array | Array of user scopes |
Example
Properties
Property | Type | Description |
|---|---|---|
user_group_id | string | Id of the user group |
scopes | array | Array of user scopes |
Example
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{
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"user_group_id" : "asdfrtfdv",
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"scopes" : ["scope1", "scope2"]
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}
Properties
Property | Type | Description |
|---|---|---|
primary_sensor_id | string | Id of the primary sensor |
sensors | object | Object containing different sensor ids as keys with value as SensorConfigSensorDetailsResource |
Example
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{
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"primary_sensor_id": "lidar",
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"sensors": {