Annotation Plugin#

A plugin that contains utilities for integrating FiftyOne with annotation tools.

In order to use this plugin, you must have at least one annotation backend configured as described here.

Installation#

fiftyone plugins download \
    https://github.com/voxel51/fiftyone-plugins \
    --plugin-names @voxel51/annotation

Refer to the main README for more information about managing downloaded plugins and developing plugins locally.

Usage#

  1. Launch the App:

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset("quickstart")
session = fo.launch_app(dataset)

  1. Press ` or click the Browse operations action to open the Operators list

  2. Select any of the operators listed below!

Operators#

request_annotations#

You can use this operator to create annotation tasks for the current dataset or view.

This operator is essentially a wrapper around the request annotations Python workflow:

dataset_or_view.annotate(
    anno_key,
    backend=...,
    label_schema=...,
    ...
)

where the operator’s form allows you to configure the annotation key, annotation backend, label schema, and any other applicable fields for your annotation backend.

load_annotations#

You can use this operator to load annotations for existing runs back onto your dataset.

This operator is essentially a wrapper around the load annotations Python workflow:

dataset_or_view.load_annotations(anno_key, ...)

where the operator’s form allows you to configure the annotation key and related options.

get_annotation_info#

You can use this operator to get information about annotation runs.

This operator is essentially a wrapper around get_annotation_info():

info = dataset_or_view.get_annotation_info(anno_key)
print(info)

load_annotation_view#

You can use this operator to load the view on which an annotation run was performed.

This operator is essentially a wrapper around load_annotation_view():

view = dataset.load_annotation_view(anno_key)

rename_annotation_run#

You can use this operator to rename annotation runs.

This operator is essentially a wrapper around rename_annotation_run():

dataset_or_view.rename_annotation_run(anno_key, new_anno_key)

delete_annotation_run#

You can use this operator to delete annotation runs.

This operator is essentially a wrapper around delete_annotation_run():

dataset_or_view.delete_annotation_run(anno_key)