1.9.1 master 1.9.1 1.8.0 1.7.0 1.6.0 1.5.0 1.4.1 1.3.1 1.2.1 1.1.0 1.0.0 0.12.1 0.11.0
![model_zoo](https://cdn-ak-scissors.b.st-hatena.com/image/square/968dcc96d8b848d66e3c7c992d4bd9606dc75862/height=288;version=1;width=512/https%3A%2F%2Fraw.githubusercontent.com%2Fdmlc%2Fweb-data%2Fmaster%2Fmxnet%2Fimage%2Fog-logo.png)
Models that take image data as input and output useful information about the image. TextDetection - Detecting text using Vision built-in model in real-time. Download | Demo | Reference PhotoAssessment - Photo Assessment using Core ML and Metal. Download | Demo | Reference PoseEstimation - Estimating human pose from a picture for mobile. Download | Demo | Reference MobileNet - Detects the dominant
Pretrained models This section describes how pre-trained models can be downloaded and used in MatConvNet. Using the pre-trained model is easy; just start from the example code included in the quickstart guide. Remark: The following CNN models may have been imported from other reference implementations and are equivalent to the originals up to numerical precision. However, note that: Images need to
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