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1. fine-tune-train_segment_anything_2_in_60_lines_of_code fine-tune-train_segment_anything_2_in_60_lines_of_code Public

   Forked from facebookresearch/sam2

   The repository provides code for training/fine tune the Meta Segment Anything Model 2 (SAM 2)

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2. Fully-convolutional-neural-network-FCN-for-semantic-segmentation-Tensorflow-implementation Fully-convolutional-neural-network-FCN-for-semantic-segmentation-Tensorflow-implementation Public

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3. Fully-convolutional-neural-network-FCN-for-semantic-segmentation-with-pytorch Fully-convolutional-neural-network-FCN-for-semantic-segmentation-with-pytorch Public

   Fully convolutional neural network (FCN) for pixelwise annotation (semantic segmentation) of images implemented on python pytorch.

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4. Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map- Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map- Public

   This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map as an additional input (Figure 1). The net receives image and…

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5. Train-Semantic-Segmentation-Net-with-Pytorch-In-50-Lines-Of-Code Train-Semantic-Segmentation-Net-with-Pytorch-In-50-Lines-Of-Code Public

   Train neural network for semantic segmentation (deep lab V3) with pytorch in less then 50 lines of code

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6. Classification-of-object-in-a-specific-image-region-using-a-convolutional-neural-net-with-ROI-mask-a Classification-of-object-in-a-specific-image-region-using-a-convolutional-neural-net-with-ROI-mask-a Public

   Classification of object in a specific image region using a convolutional neural net with ROI mask as input

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