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The number of channels in outer 1x1 convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 channels, and in Wide ResNet-50-2 has 2048-1024-2048. Parameters pretrained ( bool ) – If True, returns a model pre-trained on ImageNet
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Updated: 3 hours ago
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The number of channels in outer 1x1 convolutions is the same, e.g. last block in ResNet-50 has 2048-512-2048 channels, and in Wide ResNet-50-2 has 2048-1024-2048. Parameters: pretrained ( bool ) – If True, returns a model pre-trained on ImageNet
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Updated: 7 hours ago
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More than 14 million images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. ImageNet contains more than 20,000 categories with a typical category, such as balloon or strawberry, consisting of several hundred images.
ImageNet crowdsources its annotation process. Image-level annotations indicate the presence or absence of an object class in an image, such as there are tigers in this image or there are no tigers in this image. Object-level annotations provide a bounding box around the (visible part of the) indicated object.