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onnx
A collection of pre-trained, state-of-the-art models in the ONNX format
# EfficientNet-Lite4 ## Use Cases EfficientNet-Lite4 is an image classification model that achieves state-of-the-art accuracy. It is designed to run on mobile CPU, GPU, and EdgeTPU devices, allowing for applications...
# Ask a Question ### Question I am trying to use ArcFace, and I am not sure how to format the input image into the model's 'data' tensor; [this line...
The Tiny Yolo [V3](https://github.com/onnx/models/tree/main/vision/object_detection_segmentation/tiny-yolov3) model, for example has very specific python code needed to preprocess the image. I was wondering if there is something equivalent for Tiny Yolo V2. (Sorry...
# Model Name ## Description Description of model - What task does it address (i.e. object detection, image classification)? What is the main advantage or feature of this model's architecture?...
have the tar.gz file of models all broken? Why the running of test_models.py stops at tarfile.open(file_path, "r:gz")
# Feature Request ### What is the problem that this feature solves? Current Git LFS path and GDrive model download paths are ok, but painful to actually figure out what...
The models under the [validated directory](https://github.com/onnx/models/tree/main/validated) show up on the web page like below:  This is not enough information about these models, can we have these model cards have...
Some models had to be skipped because they failed `torch.onnx.verification` . These models have been moved under a folder called skip in each of the following folders: https://github.com/onnx/models/tree/main/Computer_Vision/skip https://github.com/onnx/models/tree/main/Generative_AI/skip https://github.com/onnx/models/tree/main/Natural_Language_Processing/skip...
https://github.com/onnx/models/blame/ddbbd1274c8387e3745778705810c340dea3d8c7/validated/vision/object_detection_segmentation/retinanet/dependencies/retinanet-export.py#L8 Someone please help!
I evaluated all of the classifications models according to their preprocessing description with imagenet: Models: ----------- - squeezenet1.0-12.onnx - bvlcalexnet-12.onnx - caffenet-12.onnx - rcnn-ilsvrc13-9.onnx - inception-v1-12.onnx - inception-v2-9.onnx - zfnet512-12.onnx...
