balavenkatesh3322/CV-pretrained-model
A collection of computer vision pre-trained models.
Curated index of transfer learning models across multiple frameworks (TensorFlow, Keras, PyTorch, Caffe, MXNet) spanning object detection, semantic segmentation, image captioning, super-resolution, and style transfer tasks. Models are organized by framework with direct links to implementations and license information, enabling developers to quickly identify and integrate pre-trained architectures like Mask R-CNN, YOLO, and DeepLab for downstream applications. Includes mobile-optimized variants (MobileNet, android-YOLO) for deployment-constrained environments.
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