AI-ModelZoo-3.2.0

The main features of the AI-ModelZoo-3.2.0 release:

• Support of STEdgeAI Core v2.2.0 (STM32Cube.AI v10.2.0).
• Support of X-Linux-AI v6.1.0 support for MPU.
• New use cases added: Neural Style Transfer and Depth Estimation.
• New models added: Face Detection, available in the Object Detection use case, and Face Landmarks, available in the Pose Estimation use case.
• Architecture and codebase clean-up.

AI-ModelZoo-3.1.0

The main features of the AI-ModelZoo-3.1.0 release:

• Support for STEdgeAI Core v2.1.0 (STM32Cube.AI v10.1.0).
• Application code for STM32N6 board is now directly available in the STM32 model zoo repository, eliminating the need for separate downloads.
• Support of On device evaluation and On device prediction on the STM32N6570-DK boards integrated in evaluation and prediction services.
• More models supported: Yolov11, LSTM model added in the Speech Enhancement, ST Yolo X variants.
• ClearML support.
• A few bug fixes and improvements like proper imports, OD metrics alignments.

AI-ModelZoo-3.0.0

The main features of the AI-ModelZoo-3.0.0 release:

• Full Support for STM32N6570-DK: Full support of the new STM32N6570-DK board.
• Additional Model Compatibility: Included additional models compatible with the STM32N6.
• STEdgeAI Core v2.0.0 Support: Included support for STEdgeAI Core v2.0.0 (STM32Cube.AI v10.0.0).
• Repository Split: Split of model zoo and services into two GitHub repositories.
• ONNX Model Support: Integrated support for ONNX model quantization and evaluation from h5 models.
• Expanded Use Case Support: Expanded use case support to include Instance Segmentation and Speech Enhancement.
• PyTorch Support: Added PyTorch support through the Speech Enhancement use case.
• On-Device Evaluation and Prediction: Support for on-device evaluation and prediction on the STM32N6570-DK boards.
• Model Zoo Hosting: Model Zoo hosted on Hugging Face.