Machine Learning
Machine Learning Integrations with Label Studio
Machine Learning Integrations
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BaalLibrary to enable Bayesian active learning
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FlairNamed entity recognition
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Grounding DINOText-Driven Object Detection Model
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Hugging FaceLabel Studio in Hugging Face Spaces
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LangChainEvaluate LLM Output Quality
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Nvidia NeMoAutomated audio transcription
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OpenMMLabBounding box image labeling
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PyTorchOpen source machine learning framework
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Scikit LearnMachine learning toolkit
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Segment Anything ModelImage Segmentation Model
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TensorFlowOpen source deep learning framework
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TesseractAutomated bounding box OCR
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Ultralytics YOLOComputer vision models
Label Studio includes a machine learning API that allows for automated data labeling and training of models. You can set up your favorite machine learning frameworks for:
- Pre-labeling: models predict data labels, with annotators performing further manual refinements.
- Auto-labeling: models automatically predict annotations for data labeling tasks.
- Online Learning: models are automatically updated as new annotations are created, retraining the model as part of the labeling process.
- Active Learning: users annotate example tasks that are difficult for models to make predictions on, targeting retraining to improve the performance of a model for a specific task.
Machine Learning Integrations
results for integrations with “ ”
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Baal
Library to enable Bayesian active learning
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Flair
Named entity recognition
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Grounding DINO
Text-Driven Object Detection Model
-
Hugging Face
Label Studio in Hugging Face Spaces
-
LangChain
Evaluate LLM Output Quality
-
Nvidia NeMo
Automated audio transcription
-
OpenMMLab
Bounding box image labeling
-
PyTorch
Open source machine learning framework
-
Scikit Learn
Machine learning toolkit
-
Segment Anything Model
Image Segmentation Model
-
TensorFlow
Open source deep learning framework
-
Tesseract
Automated bounding box OCR
-
Ultralytics YOLO
Computer vision models
Do you have an idea for a new integration?
or reach out to community@labelstud.io .
Other Integrations
results for integrations with “”
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Amazon SagemakerIntegrate Label Studio with AWS Sagemaker
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GalileoUncover data issues and errors
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Lightly.aiActive learning for data management
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ModzyDeploy, run and monitor ML models
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Unstructured.ioUnstructured data ingestion and preprocessing
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ZenMLExtensible MLOps framework
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DockerContainer installation of Label Studio
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KubernetesInfrastructure to deploy and scale Label Studio
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TerraformAutomated installation
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Azure Blob StorageAzure cloud storage for data labeling
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Google Cloud StorageGoogle cloud storage for data labeling
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PachydermAutomated versioning for data labeling
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S3AWS cloud storage for data labeling
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PostgreSQLAdvanced relational storage for data annotations
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RedisHigh-speed cache for annotation data
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SQLiteDefault embedded database in Label Studio
Do you have an idea for a new integration?
or reach out to community@labelstud.io.
0 results for integrations with “”
Do you have an idea for a new integration?
or reach out to community@labelstud.io.