# Aquarium

## Aquarium

- [Intro to Aquarium](https://legacy-docs.aquariumlearning.com/aquarium/getting-started/master.md)
- [Key Concepts](https://legacy-docs.aquariumlearning.com/aquarium/getting-started/key-concepts.md): Definition of terms and their associated context in Aquarium
- [Account Setup and Team Onboarding](https://legacy-docs.aquariumlearning.com/aquarium/getting-started/account-setup-and-team-onboarding.md): How to get started with Aquarium with setup and onboarding new team members
- [Quickstart Guides](https://legacy-docs.aquariumlearning.com/aquarium/getting-started/quickstart-guides.md): Guides to help you get started with Aquarium
- [2D Classification](https://legacy-docs.aquariumlearning.com/aquarium/getting-started/quickstart-guides/2d-classification.md): Learn how to create an example 2D classification project using the oxford-iiit-pets dataset
- [2D Object Detection](https://legacy-docs.aquariumlearning.com/aquarium/getting-started/quickstart-guides/2d-object-detection.md): Learn how to create an example 2D object detection project using the RarePlanes open source dataset
- [2D Semantic Segmentation](https://legacy-docs.aquariumlearning.com/aquarium/getting-started/quickstart-guides/2d-semantic-segmentation.md): Learn how to create an example 2D semantic segmentation project using the KITTI open source dataset
- [Announcements](https://legacy-docs.aquariumlearning.com/aquarium/getting-started/announcements.md): New features, content and other Aquarium news
- [Data Sharing Methodologies](https://legacy-docs.aquariumlearning.com/aquarium/data-privacy/data-sharing-methodologies.md): Methodologies for properly allowed Aquarium to render your data
- [Generate Local Credentials from AWS](https://legacy-docs.aquariumlearning.com/aquarium/data-privacy/data-sharing-methodologies/generate-local-credentials-from-aws.md): How to generate local credentials from your storage bucket provider to work with Aquarium
- [Generating Access-Controlled URLs](https://legacy-docs.aquariumlearning.com/aquarium/data-privacy/data-sharing-methodologies/generating-access-controlled-urls.md): There are many ways to share data -- here are a few common approaches, ordered from least to most locked-down
- [Granting Aquarium Read Access to an AWS S3 Bucket](https://legacy-docs.aquariumlearning.com/aquarium/data-privacy/data-sharing-methodologies/granting-aquarium-read-access-to-an-aws-s3-bucket.md): In the case where it is ok for Aquarium to access your data, but the data needs to live on your servers
- [Anonymous Mode](https://legacy-docs.aquariumlearning.com/aquarium/data-privacy/anonymous-mode.md): Use Aquarium without directly sharing your raw data.
- [Creating Projects in Aquarium](https://legacy-docs.aquariumlearning.com/aquarium/integrating-with-aquarium/creating-projects-in-aquarium.md): Creating and defining projects within Aquarium
- [Uploading Data](https://legacy-docs.aquariumlearning.com/aquarium/integrating-with-aquarium/uploading-data.md): Getting your data into Aquarium
- [Labeled Datasets](https://legacy-docs.aquariumlearning.com/aquarium/integrating-with-aquarium/uploading-data/labeled-datasets.md): Labeled datasets include all of your ground truth labels for your dataset
- [Model Inferences](https://legacy-docs.aquariumlearning.com/aquarium/integrating-with-aquarium/uploading-data/model-inferences.md): Inference sets include all of your model predictions for your dataset
- [Unlabeled Datasets](https://legacy-docs.aquariumlearning.com/aquarium/integrating-with-aquarium/uploading-data/unlabeled-datasets.md): Unlabeled datasets consists of unlabeled datapoints with or without model results/predictions
- [Exporting Data](https://legacy-docs.aquariumlearning.com/aquarium/integrating-with-aquarium/exporting-data.md): How to get your data out of Aquarium and integrate with other systems
- [Batch Exports](https://legacy-docs.aquariumlearning.com/aquarium/integrating-with-aquarium/exporting-data/batch-exports.md): How to export your data in batches large or small
- [Webhooks](https://legacy-docs.aquariumlearning.com/aquarium/integrating-with-aquarium/exporting-data/webhooks.md): How to use Aquarium webhooks to communicate with your own services, including automating labeling service integrations.
- [Updating Datasets](https://legacy-docs.aquariumlearning.com/aquarium/integrating-with-aquarium/mutable-datasets-beta.md): How to update datasets after upload
- [Managing Projects](https://legacy-docs.aquariumlearning.com/aquarium/working-in-aquarium/managing-projects.md)
- [Viewing Your Dataset](https://legacy-docs.aquariumlearning.com/aquarium/working-in-aquarium/exploring-your-dataset.md): Overview of the different views within Aquarium
- [Analyzing Your Metadata](https://legacy-docs.aquariumlearning.com/aquarium/working-in-aquarium/analyzing-your-metadata.md): Use the Analysis View to quickly summarize your dataset across multiple metadata dimensions.
- [Querying Your Dataset](https://legacy-docs.aquariumlearning.com/aquarium/working-in-aquarium/querying-your-dataset.md): Use the Query Bar to slice and dice your frames, labels and inferences by metadata and model performance.
- [Organizing Your Data](https://legacy-docs.aquariumlearning.com/aquarium/working-in-aquarium/organizing-your-data.md): Organize your data using Aquarium Segments
- [Inspecting Model Performance](https://legacy-docs.aquariumlearning.com/aquarium/working-in-aquarium/inspecting-model-performance.md): Understanding your model performance and how to analyze them through the Model Metrics View
- [Analyzing Model Inferences](https://legacy-docs.aquariumlearning.com/aquarium/working-in-aquarium/analyzing-model-inferences.md)
- [Finding Similar Elements Within a Dataset](https://legacy-docs.aquariumlearning.com/aquarium/working-in-aquarium/finding-similar-elements-within-a-dataset.md)
- [Comparing Models](https://legacy-docs.aquariumlearning.com/aquarium/working-in-aquarium/comparing-models.md)
- [Assess Data Quality](https://legacy-docs.aquariumlearning.com/aquarium/common-workflows/assess-data-quality.md): Working with the tool to discover data quality issues
- [Collect Relevant Data](https://legacy-docs.aquariumlearning.com/aquarium/common-workflows/collect-relevant-data.md): How to collect relevant data in your labeled and unlabeled datasets using Aquarium
- [Evaluate Model Performance](https://legacy-docs.aquariumlearning.com/aquarium/common-workflows/evaluate-model-performance.md)
- [Working With the SDK](https://legacy-docs.aquariumlearning.com/aquarium/python-sdk/working-with-the-sdk.md): Tips, Tricks, and Examples of how to work with Aquarium's Python Client
- [Code Snippets and Examples](https://legacy-docs.aquariumlearning.com/aquarium/python-sdk/code-snippets-and-examples.md): Examples of how to work with Aquarium's Python SDK
- [Segments](https://legacy-docs.aquariumlearning.com/aquarium/python-sdk/code-snippets-and-examples/segments.md): How to interact with segments through the SDK
- [Confusion Matrix Scripting](https://legacy-docs.aquariumlearning.com/aquarium/python-sdk/code-snippets-and-examples/confusion-matrix-scripting.md)
- [Collection Campaign Scripting](https://legacy-docs.aquariumlearning.com/aquarium/python-sdk/code-snippets-and-examples/collection-campaign-scripting.md)
- [Adding Custom Embeddings](https://legacy-docs.aquariumlearning.com/aquarium/concepts/adding-custom-embeddings.md): Add custom embeddings to your uploads
- [Dataset Checkpoints](https://legacy-docs.aquariumlearning.com/aquarium/concepts/dataset-checkpoints.md): Use checkpoints to manage versions of your dataset over time and measure the impact of improving data quality or acquiring new data.
- [Collection Campaign Classifier](https://legacy-docs.aquariumlearning.com/aquarium/concepts/collection-campaign-classifier.md)
- [Embeddings](https://legacy-docs.aquariumlearning.com/aquarium/concepts/embeddings.md)
- [URL formatting](https://legacy-docs.aquariumlearning.com/aquarium/concepts/url-formatting.md)
- [Metrics Methodology](https://legacy-docs.aquariumlearning.com/aquarium/concepts/metrics-methodology.md)
- [Complex Label Class Maps](https://legacy-docs.aquariumlearning.com/aquarium/concepts/complex-label-class-maps.md)
- [Webhooks](https://legacy-docs.aquariumlearning.com/aquarium/concepts/webhooks.md): How to use Aquarium webhooks to communicate with your own services, including automating labeling service integrations.
- [Integrating with Labeling Using Webhooks](https://legacy-docs.aquariumlearning.com/aquarium/concepts/webhooks/integrating-with-labeling-using-webhooks.md)
- [Custom Metrics](https://legacy-docs.aquariumlearning.com/aquarium/concepts/custom-metrics.md)
- [Stratified Metrics](https://legacy-docs.aquariumlearning.com/aquarium/concepts/custom-metrics/stratified-metrics.md)
- [Troubleshooting](https://legacy-docs.aquariumlearning.com/aquarium/concepts/troubleshooting.md): Common error messages you may see and how to resolve them
- [Troubleshooting Common Web Issues](https://legacy-docs.aquariumlearning.com/aquarium/concepts/troubleshooting/troubleshooting-common-issues.md)