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more hyperlink fixes
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examples/annotation_import/basics.ipynb

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"id": "registered-parts"
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},
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"source": [
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"* For information on what types of annotations are supported per data type, refer to this documentation:\n",
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" * https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended"
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"* For information on what types of annotations are supported per data type, refer to this [documentation](https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended)"
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]
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{
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"#### Create Label using Annotation Type Objects\n",
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"* It is recommended to use the Python SDK's annotation types. Below is an example of a bounding box, which is the Rectangle annotation type\n",
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"\n",
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"* A more in depth example can be found here:\n",
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" * https://docs.labelbox.com/docs/bounding-box-json"
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"* A more in depth example can be found [here](https://docs.labelbox.com/docs/bounding-box-json)"
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]
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{
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}
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],
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"metadata": {
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"colab": {
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"collapsed_sections": [],
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"name": "basics.ipynb",
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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},
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"colab": {
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"name": "basics.ipynb",
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"provenance": [],
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"collapsed_sections": []
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}
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"nbformat": 4,
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}

examples/annotation_import/image.ipynb

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"id": "e76f007b-9465-4acd-9008-20e25e4a4b98",
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"metadata": {},
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"source": [
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"* For information on what types of annotations are supported per data type, refer to this documentation:\n",
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" * https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended"
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"* For information on what types of annotations are supported per data type, refer to this [documentation](https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended)"
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]
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{

examples/annotation_import/text.ipynb

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"id": "e76f007b-9465-4acd-9008-20e25e4a4b98"
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},
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"source": [
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"* For information on what types of annotations are supported per data type, refer to this documentation:\n",
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" * https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended"
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"* For information on what types of annotations are supported per data type, refer to this [documentation](https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended)"
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]
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{
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"execution_count": null,
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"id": "86003724-4807-4281-95c1-5284a6f9609f",
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"metadata": {
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"id": "86003724-4807-4281-95c1-5284a6f9609f",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "86003724-4807-4281-95c1-5284a6f9609f",
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"outputId": "aeda6d0e-6f64-43ec-8967-9592c9cdedd4"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:labelbox.client:Initializing Labelbox client at 'https://api.labelbox.com/graphql'\n"
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]
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"execution_count": null,
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"id": "6d72fe25-ff7e-4e0a-94cf-095e4df73da0",
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"metadata": {
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"id": "6d72fe25-ff7e-4e0a-94cf-095e4df73da0",
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"outputId": "cad599c1-d90e-41d5-cc45-2806d536dc99",
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"colab": {
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"base_uri": "https://localhost:8080/"
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"id": "6d72fe25-ff7e-4e0a-94cf-095e4df73da0",
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"outputId": "cad599c1-d90e-41d5-cc45-2806d536dc99"
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"{'annotations': [ObjectAnnotation(name='named_entity', feature_schema_id=None, extra={}, value=TextEntity(start=10, end=20, extra={}), classifications=[]),\n",
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" 'uid': None}"
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"execution_count": 8,
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"output_type": "execute_result"
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"execution_count": null,
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"id": "53aaf87b-114f-4b56-a417-8c7cddc1f532",
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"metadata": {
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"id": "53aaf87b-114f-4b56-a417-8c7cddc1f532",
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"outputId": "ba68e13c-42f1-48f6-fe0a-33c41ccf4c74",
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"colab": {
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"base_uri": "https://localhost:8080/"
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"id": "53aaf87b-114f-4b56-a417-8c7cddc1f532",
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"outputId": "ba68e13c-42f1-48f6-fe0a-33c41ccf4c74"
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"[{'classifications': [],\n",
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" 'uuid': 'b63d0c2c-5470-4245-8fe4-3f17d68c2f83'}]"
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"execution_count": 9,
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"execution_count": null,
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"id": "2a8f9e5f-eeeb-4cfa-9b97-a09495a64d41",
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"metadata": {
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"id": "2a8f9e5f-eeeb-4cfa-9b97-a09495a64d41",
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"outputId": "75ecd104-ec63-49ca-c29f-d873a2c3dfab",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "2a8f9e5f-eeeb-4cfa-9b97-a09495a64d41",
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"outputId": "75ecd104-ec63-49ca-c29f-d873a2c3dfab"
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"outputs": [
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"text": [
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"INFO:labelbox.schema.annotation_import:Sleeping for 10 seconds...\n"
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"execution_count": null,
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"id": "e8d4e99b-ad7e-48b9-8073-afb764d7c5b4",
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"metadata": {
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"id": "e8d4e99b-ad7e-48b9-8073-afb764d7c5b4",
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"outputId": "8dd839f9-5485-4b74-cddc-c9a98fbc60f7",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "e8d4e99b-ad7e-48b9-8073-afb764d7c5b4",
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"outputId": "8dd839f9-5485-4b74-cddc-c9a98fbc60f7"
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"([{'classifications': [],\n",
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" 'tool': 'named-entity'}]})"
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"metadata": {},
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"output_type": "execute_result"
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"id": "3669b646-2d41-4c98-9e5b-f8ef3ce82f35",
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"metadata": {
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"id": "3669b646-2d41-4c98-9e5b-f8ef3ce82f35",
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"outputId": "cdff6dfb-c55f-4af6-882f-f477d66966b9",
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"colab": {
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"base_uri": "https://localhost:8080/"
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"id": "3669b646-2d41-4c98-9e5b-f8ef3ce82f35",
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"outputId": "cdff6dfb-c55f-4af6-882f-f477d66966b9"
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"INFO:labelbox.schema.annotation_import:Sleeping for 10 seconds...\n"
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}
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],
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"metadata": {
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"colab": {
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"collapsed_sections": [],
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"name": "text.ipynb",
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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"colab": {
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"name": "text.ipynb",
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"provenance": [],
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"nbformat": 4,
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}

examples/annotation_import/tiled.ipynb

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"id": "fd21ef93-b032-4569-a879-bcc214463a36"
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},
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"source": [
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"* For information on what types of annotations are supported per data type, refer to this documentation:\n",
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" * https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended"
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"* For information on what types of annotations are supported per data type, refer to this [documentation](https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended)"
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}
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"metadata": {
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"name": "tiled.ipynb",
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"kernelspec": {
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"nbconvert_exporter": "python",
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"nbformat": 4,
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"nbformat_minor": 5
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}

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