---
|
test_name: simple_export
|
strict: false
|
marks:
|
- usefixtures:
|
- django_live_url
|
stages:
|
- id: signup
|
type: ref
|
- name: stage
|
request:
|
headers:
|
content-type: application/json
|
json:
|
label_config: <View><Text name="text" value="$text"/><Choices name="label" toName="text"><Choice
|
value="pos"/><Choice value="neg"/></Choices></View>
|
method: POST
|
url: '{django_live_url}/api/projects'
|
response:
|
save:
|
json:
|
pk: id
|
status_code: 201
|
- name: stage
|
request:
|
files:
|
file: tests/test_suites/samples/lines.txt
|
headers:
|
content-type: multipart/form-data
|
method: POST
|
url: '{django_live_url}/api/projects/{pk}/import'
|
response:
|
json:
|
annotation_count: 0
|
prediction_count: 0
|
task_count: 3
|
status_code: 201
|
- name: stage
|
request:
|
method: GET
|
url: '{django_live_url}/api/projects/{pk}/next'
|
response:
|
save:
|
json:
|
task_pk: id
|
status_code: 200
|
- name: stage
|
request:
|
headers:
|
content-type: application/json
|
json:
|
lead_time: 34.56
|
result:
|
- from_name: label
|
to_name: text
|
type: choices
|
value:
|
choices:
|
- pos
|
method: POST
|
url: '{django_live_url}/api/tasks/{task_pk}/annotations'
|
response:
|
save:
|
json:
|
annotation_pk: id
|
status_code: 201
|
- name: stage
|
request:
|
method: GET
|
url: '{django_live_url}/api/projects/{pk}/export'
|
response:
|
status_code: 200
|
- name: stage
|
request:
|
method: GET
|
url: '{django_live_url}/api/projects/{pk}/export?ids[]={task_pk}'
|
response:
|
status_code: 200
|
- name: stage
|
request:
|
method: GET
|
url: '{django_live_url}/api/projects/{pk}/export?ids[]=9999999'
|
response:
|
status_code: 200
|
|
|
---
|
test_name: YOLO_export_option_polygons
|
strict: true
|
marks:
|
- usefixtures:
|
- django_live_url
|
stages:
|
- id: signup
|
type: ref
|
- name: stage
|
request:
|
headers:
|
content-type: application/json
|
json:
|
label_config: <View><Header value="Select label and click the image to start"/><Image name="image" value="$image" /><PolygonLabels name="label" toName="image" strokeWidth="3" pointSize="small"><Label value="Airplane" background="red"/><Label value="Car" background="blue"/></PolygonLabels></View>
|
method: POST
|
url: '{django_live_url}/api/projects'
|
response:
|
save:
|
json:
|
pk: id
|
status_code: 201
|
- name: stage_export
|
request:
|
method: GET
|
url: '{django_live_url}/api/projects/{pk}/export/formats'
|
response:
|
json:
|
- title: JSON
|
description: List of items in raw JSON format stored in one JSON file. Use to export
|
both the data and the annotations for a dataset. It's Label Studio Common Format
|
link: https://labelstud.io/guide/export.html#JSON
|
name: JSON
|
- title: JSON-MIN
|
description: List of items where only "from_name", "to_name" values from the raw
|
JSON format are exported. Use to export only the annotations for a dataset.
|
link: https://labelstud.io/guide/export.html#JSON-MIN
|
name: JSON_MIN
|
- title: CSV
|
description: Results are stored as comma-separated values with the column names
|
specified by the values of the "from_name" and "to_name" fields.
|
link: https://labelstud.io/guide/export.html#CSV
|
name: CSV
|
- title: TSV
|
description: Results are stored in tab-separated tabular file with column names
|
specified by "from_name" "to_name" values
|
link: https://labelstud.io/guide/export.html#TSV
|
name: TSV
|
- title: COCO
|
description: Popular machine learning format used by the COCO dataset for object
|
detection and image segmentation tasks with polygons and rectangles.
|
link: https://labelstud.io/guide/export.html#COCO
|
tags:
|
- image segmentation
|
- object detection
|
- keypoints
|
name: COCO
|
- title: COCO with Images
|
description: COCO format with images downloaded.
|
link: https://labelstud.io/guide/export.html#COCO
|
tags:
|
- image segmentation
|
- object detection
|
- keypoints
|
name: COCO_WITH_IMAGES
|
- title: YOLO
|
description: Popular TXT format is created for each image file. Each txt file contains
|
annotations for the corresponding image file, that is object class, object coordinates,
|
height & width.
|
link: https://labelstud.io/guide/export.html#YOLO
|
tags:
|
- image segmentation
|
- object detection
|
- keypoints
|
name: YOLO
|
- title: YOLO with Images
|
description: YOLO format with images downloaded.
|
link: https://labelstud.io/guide/export.html#YOLO
|
tags:
|
- image segmentation
|
- object detection
|
- keypoints
|
name: YOLO_WITH_IMAGES
|
- title: YOLOv8 OBB
|
description: Popular TXT format is created for each image file. Each txt file contains
|
annotations for the corresponding image file. The YOLO OBB format designates bounding
|
boxes by their four corner points with coordinates normalized between 0 and 1,
|
so it is possible to export rotated objects.
|
link: https://labelstud.io/guide/export.html#YOLO
|
tags:
|
- image segmentation
|
- object detection
|
name: YOLO_OBB
|
- title: YOLOv8 OBB with Images
|
description: YOLOv8 OBB format with images downloaded.
|
link: https://labelstud.io/guide/export.html#YOLO
|
tags:
|
- image segmentation
|
- object detection
|
name: YOLO_OBB_WITH_IMAGES
|
- title: CONLL2003
|
description: Popular format used for the CoNLL-2003 named entity recognition challenge.
|
link: https://labelstud.io/guide/export.html#CONLL2003
|
tags:
|
- sequence labeling
|
- text tagging
|
- named entity recognition
|
name: CONLL2003
|
disabled: true
|
- title: Pascal VOC XML
|
description: Popular XML format used for object detection and polygon image segmentation
|
tasks.
|
link: https://labelstud.io/guide/export.html#Pascal-VOC-XML
|
tags:
|
- image segmentation
|
- object detection
|
name: VOC
|
disabled: true
|
- title: Brush labels to NumPy
|
description: Export your brush labels as NumPy 2d arrays. Each label outputs as
|
one image.
|
link: https://labelstud.io/guide/export.html#Brush-labels-to-NumPy-amp-PNG
|
tags:
|
- image segmentation
|
name: BRUSH_TO_NUMPY
|
disabled: true
|
- title: Brush labels to PNG
|
description: Export your brush labels as PNG images. Each label outputs as one image.
|
link: https://labelstud.io/guide/export.html#Brush-labels-to-NumPy-amp-PNG
|
tags:
|
- image segmentation
|
name: BRUSH_TO_PNG
|
disabled: true
|
- title: ASR Manifest
|
description: Export audio transcription labels for automatic speech recognition
|
as the JSON manifest format expected by NVIDIA NeMo models.
|
link: https://labelstud.io/guide/export.html#ASR-MANIFEST
|
tags:
|
- speech recognition
|
name: ASR_MANIFEST
|
disabled: true
|
- title: "Brush labels to COCO"
|
description: "Export your brush labels as COCO format for segmentation tasks. Converts RLE encoded masks to COCO polygons."
|
link: "https://labelstud.io/guide/export.html#COCO"
|
tags:
|
- "image segmentation"
|
- "brush annotations"
|
name: "BRUSH_TO_COCO"
|
disabled: true
|
|
|
status_code: 200
|
|
|
---
|
test_name: mig_export
|
strict: false
|
marks:
|
- usefixtures:
|
- django_live_url
|
stages:
|
- id: signup
|
type: ref
|
- name: stage
|
request:
|
headers:
|
content-type: application/json
|
json:
|
label_config:
|
<View>
|
<Image name="image" valueList="$images"/>
|
<RectangleLabels name="labels" toName="image">
|
<Label value="Cat"/>
|
<Label value="Dog"/>
|
</RectangleLabels>
|
</View>
|
method: POST
|
url: '{django_live_url}/api/projects'
|
response:
|
save:
|
json:
|
pk: id
|
status_code: 201
|
- name: stage_export
|
request:
|
method: GET
|
url: '{django_live_url}/api/projects/{pk}/export/formats'
|
response:
|
strict:
|
- json:list_any_order
|
json:
|
- title: 'JSON'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#JSON'
|
name: 'JSON'
|
- title: 'JSON-MIN'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#JSON-MIN'
|
name: 'JSON_MIN'
|
- title: 'CSV'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#CSV'
|
name: 'CSV'
|
- title: 'TSV'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#TSV'
|
name: 'TSV'
|
- title: 'COCO'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#COCO'
|
tags: ['image segmentation', 'object detection']
|
name: 'COCO'
|
disabled: true
|
- title: 'YOLO'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#YOLO'
|
tags: ['image segmentation', 'object detection']
|
name: 'YOLO'
|
disabled: true
|
- title: 'YOLOv8 OBB'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#YOLO'
|
tags: ['image segmentation', 'object detection']
|
name: 'YOLO_OBB'
|
disabled: true
|
- title: 'CONLL2003'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#CONLL2003'
|
tags: ['sequence labeling', 'text tagging', 'named entity recognition']
|
name: 'CONLL2003'
|
disabled: true
|
- title: 'Pascal VOC XML'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#Pascal-VOC-XML'
|
tags: ['image segmentation', 'object detection']
|
name: 'VOC'
|
disabled: true
|
- title: 'Brush labels to NumPy'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#Brush-labels-to-NumPy-amp-PNG'
|
tags: ['image segmentation']
|
name: 'BRUSH_TO_NUMPY'
|
disabled: true
|
- title: 'Brush labels to PNG'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#Brush-labels-to-NumPy-amp-PNG'
|
tags: ['image segmentation']
|
name: 'BRUSH_TO_PNG'
|
disabled: true
|
- title: 'ASR Manifest'
|
description: !anystr
|
link: 'https://labelstud.io/guide/export.html#ASR-MANIFEST'
|
tags: ['speech recognition']
|
name: 'ASR_MANIFEST'
|
disabled: true
|
status_code: 200
|
