# ObzAI Docs

## Docs

- [Create Plant](https://docs.obz.ai/api-reference/endpoint/create.md): Creates a new plant in the store
- [Delete Plant](https://docs.obz.ai/api-reference/endpoint/delete.md): Deletes a single plant based on the ID supplied
- [Get Plants](https://docs.obz.ai/api-reference/endpoint/get.md): Returns all plants from the system that the user has access to
- [New Plant](https://docs.obz.ai/api-reference/endpoint/webhook.md): Information about a new plant added to the store
- [Introduction](https://docs.obz.ai/api-reference/introduction.md): Example section for showcasing API endpoints
- [Data Inspection and Outlier Detection](https://docs.obz.ai/data_inspector_local.md): Deep dive into Data Inspector functionality on natural images. We extract features from images that will be used to assess their data quality and to identify outliers.
- [Monitor a ImageNet Classifier](https://docs.obz.ai/imagenet_classification_cloud.md): Monitor and explain a ML model that classifies natural images to object labels.
- [Introduction](https://docs.obz.ai/introduction.md): Obz AI enable seamless integration of computer vision AI system with explainainbility, outlier detection, and monitoring solutions.
- [Monitor a Lung Cancer Classifier](https://docs.obz.ai/lungcancer_classification_cloud.md): Monitor and explain a ML model that classifies Lung CT scans for cancer.
- [Classification of Lung Nodules for Cancer](https://docs.obz.ai/lungcancer_classification_local.md): Use the ObzAI library locally to detect outliers in lung nodules and explain in the ViT classifier for cancer status.
- [Quickstart](https://docs.obz.ai/quickstart.md): Get started with Obz AI
- [Explainable AI (XAI) Tools](https://docs.obz.ai/xai_tools_local.md): Use the ObzAI library locally to explain a vision AI model

## OpenAPI Specs

- [openapi](https://docs.obz.ai/api-reference/openapi.json)

## Optional

- [Homepage](https://obz.ai)
- [App](https://app.obz.ai)