Shypd.aiThe largest open index of AI toolsimgclsmob is an open-source sandbox for training deep learning networks, focusing on convolutional networks for computer vision tasks. It provides implementations of various classification, segmentation, detection, and pose estimation models.
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imgclsmob is an open-source repository designed as a sandbox for training deep learning networks, with a primary focus on convolutional networks for computer vision tasks. It offers a comprehensive collection of (re)implementations of various models for classification, segmentation, detection, and human pose estimation. The tool includes scripts for training, evaluating, and converting these models across multiple deep learning frameworks such as MXNet/Gluon, PyTorch, Chainer, Keras, and TensorFlow 1.x/2.x. It supports models pretrained on diverse datasets like ImageNet-1K, CIFAR-10/100, SVHN, Pascal VOC2012, ADE20K, and COCO, with automatic loading of pretrained weights. This makes it an invaluable resource for researchers and developers working on deep learning projects.
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