> For the complete documentation index, see [llms.txt](https://nx.docs.scailable.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support.md).

# AI Models Support

- [Models Overview](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/introduction.md): Overview of creating and uploading vision models for deployment with the AI Manager.
- [Default demo models](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/default-models.md): Overview of the starter AI models included with every AI Manager Cloud catalogue.
- [Object Detection](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/default-models/object-detection.md): Input and output format for the default Object Detection demo model.
- [People and Vehicles (Low)](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/default-models/people-vehicles-low.md): Input and output format for the default People and Vehicles Detection (Low Accuracy) demo model.
- [People and Vehicles (High)](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/default-models/people-vehicles-high.md): Input and output format for the default People and Vehicles Detection (High Accuracy) demo model.
- [People (Low)](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/default-models/people-low.md): Input and output format for the default People Detection (Low Accuracy) demo model.
- [People (High)](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/default-models/people-high.md): Input and output format for the default People Detection (High Accuracy) demo model.
- [Face Detection](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/default-models/face-detection.md): Input and output format for the default Face Detection demo model.
- [Supported models](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/importing-models.md): Overview of supported model training platforms and how to import their models.
- [From Edge Impulse](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/importing-models/from-edge-impulse.md): Train a model on Edge Impulse and deploy it to an edge device via the AI Manager Cloud.
- [From Nota AI](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/importing-models/from-nota-ai.md): Deploy a model optimized with Nota AI's NetsPresso platform.
- [From Teachable Machine](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/importing-models/from-teachable-machine.md): Train a model with Teachable Machine and deploy it with the AI Manager.
- [From Ultralytics](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/importing-models/from-ultralytics.md): Deploy Ultralytics YOLO models with the AI Manager.
- [From TensorFlow / TFLite](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/importing-models/from-tensorflow-tflite.md): Deploy a TensorFlow or TFLite model with the AI Manager.
- [Common Models](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/importing-models/common-models.md): Guides for deploying common image classification and object detection models.
- [Custom models](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/custom-models.md): Bring your own custom vision model beyond classification and object detection.
- [ONNX requirements](https://nx.docs.scailable.net/ai-manager-v6.1.4/ai-models-support/custom-models/onnx-requirements.md): ONNX format requirements a model must meet to run on the AI Manager.