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The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
| Date | Stars |
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| 2026-07-24 | 680 |
| 2026-07-25 | 680 |
| 2026-07-28 | 684 |
| 2026-07-30 | 684 |
| 2026-08-06 | 684 |
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Hailo Model Zoo
===============
.. |python| image:: https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12-blue.svg
:target: https://www.python.org/downloads/release/python-3123/
:alt: Python 3.12
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.. |tensorflow| image:: https://img.shields.io/badge/Tensorflow-2.19.1-blue.svg
:target: https://github.com/tensorflow/tensorflow/releases/tag/v2.19.1
:alt: Tensorflow
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:target: https://developer.nvidia.com/cuda-toolkit
:alt: Cuda
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.. |compiler| image:: https://img.shields.io/badge/Hailo%20Dataflow%20Compiler-5.4.0-brightgreen.svg
:target: https://hailo.ai/company-overview/contact-us/
:alt: Hailo Dataflow Compiler
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.. |runtime| image:: https://img.shields.io/badge/HailoRT%20(optional)-5.4.0-brightgreen.svg
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.. |license| image:: https://img.shields.io/badge/License-MIT-yellow.svg
:target: https://github.com/hailo-ai/hailo_model_zoo/blob/master/LICENSE
:alt: License: MIT
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.. image:: docs/images/logo.png
|python| |tensorflow| |cuda| |compiler| |runtime| |license|
The Hailo Model Zoo provides pre-trained models for high-performance deep learning applications. Using the Hailo Model Zoo, you can measure the full precision accuracy of each model, the quantized accuracy using the Hailo Emulator, and measure the accuracy on Hailo's device. Finally, you will be able to generate the Hailo Executable Format (HEF) binary file to speed up development and generate high-quality applications accelerated with Hailo's technology. The Hailo Model Zoo also provides re-training instructions to train the models on custom datasets and models that were trained for specific use cases on internal datasets.
Models
Hailo provides different pre-trained models in ONNX / TF formats and pre-compiled HEF (Hailo Executable Format) binary file to execute on the Hailo devices.
The models are divided to:
* Public models - which were trained on publicly available datasets.
* For Hailo-15H - `Classification <docs/public_models/HAILO15H/HAILO15H_classification.rst>`_, `Object Detection <docs/public_models/HAILO15H/HAILO15H_object_detection.rst>`_, `Segmentation <docs/public_models/HAILO15H/HAILO15H_semantic_segmentation.rst>`_, `other tasks <docs/PUBLIC_MODELS.rst>`_
* For Hailo-10H - `Classification <docs/public_models/HAILO10H/HAILO10H_classification.rst>`_, `Object Detection <docs/public_models/HAILO10H/HAILO10H_object_detection.rst>`_, `Segmentation <docs/public_models/HAILO10H/HAILO10H_semantic_segmentation.rst>`_, `other tasks <docs/PUBLIC_MODELS.rst>`_
* For Hailo-15L - `Classification <docs/public_models/HAILO15L/HAILO15L_classification.rst>`_, `Object Detection <docs/public_models/HAILO15L/HAILO15L_object_detection.rst>`_, `Segmentation <docs/public_models/HAILO15L/HAILO15L_semantic_segmentation.rst>`_, `other tasks <docs/PUBLIC_MODELS.rst>`_
**⚙️ Compatibility Notice:** The Hailo-8 and Hailo-8L devices are supported on the **Hailo Model Zoo v2.x** branch, in combination with the **Hailo Dataflow Compiler v3.x** branch. The `master` branch is intended for **Hailo-10** and **Hailo-15** devices only.
* For Hailo-8 - `Classification <docs/public_models/HAILO8/HAILO8_classification.rst>`_, `Object Detection <docs/public_models/HAILO8/HAILO8_object_detection.rst>`_, `Segmentation <docs/public_models/HAILO8/HAILO8_semantic_segmentation.rst>`_, `other tasks <docs/PUBLIC_MODELS.rst>`_
* For Hailo-8L - `Classification <docs/public_models/HAILO8L/HAILO8L_classification.rst>`_, `Object Detection <docs/public_models/HAILO8L/HAILO8L_object_detection.rst>`_, `Segmentation <docs/public_models/HAILO8L/HAILO8L_semantic_segmentation.rst>`_, `other tasks <docs/PUBLIC_MODELS.rst>`_
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matched fp:f52be61a486ae7c1, topic:computer-vision, readme:object detection, readme:semantic segmentation
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matched fp:f52be61a486ae7c1, topic:deep-learning