Clarity on downloading labelled dataset
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- azure, machine-learning, python
- Domain
- data, machine-learning
Research direction
Start with the Azure ML Python SDK entry points shown: Dataset.get_by_name and Dataset.download, then compare them with the linked dataset UI's export options. Determine whether AzureML format or absolute bounding-box coordinates are supported programmatically; done means documenting the supported API or confirming that only UI export is available.
Written by the indexing model from the issue text.
Description
Hi,
I used this code from here:
from azureml.core import Workspace, Dataset
subscription_id = ''
resource_group = ''
workspace_name = ''
workspace = Workspace(subscription_id, resource_group, workspace_name)
dataset = Dataset.get_by_name(workspace, name='')
dataset.download(target_path='.', overwrite=False)
This works created, downloading the labelled dataset in the COCO format. What if i wanted to download it in the AzureML format, or using aboslute bounding box co-ordinates?
I can manually export from the UI, but is there a way to do it programatically. I'm worried Azure will change this feature in the future, and my re-usable code will not be so re-useable.
Thanls,
Viraj
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 2.6k
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from Azure/MachineLearningNotebooks
-
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
Azure/MachineLearningNotebooks#1975 · 1 comment ·
-
duplicates Open
Difficulty 1/5 Under an hour Newbie friendliness 68/100
Azure/MachineLearningNotebooks#1960 ·
-
machine Open
Difficulty 5/5 Over a week Newbie friendliness 10/100
Azure/MachineLearningNotebooks#1987 ·
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
Azure/MachineLearningNotebooks#1985 · 1 comment ·
-
Difficulty 3/5 1-2 days Newbie friendliness 35/100
Azure/MachineLearningNotebooks#1981 · 1 reaction ·
All issues in Azure/MachineLearningNotebooks
Similar issues
-
bug triage
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
fivetran/great_expectations#12253 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
-
correction metadata
Difficulty 1/5 Under an hour Newbie friendliness 78/100
acl-org/acl-anthology#10071 · 1 comment ·
-
data:css needs triage
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
mdn/browser-compat-data#30618 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
basedosdados/pipelines#2095 ·