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We use various algorithms like
annotation tool implementation developed for polygonal binary annotation using Segment Anything Model (SAM)
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
DeepFTSG is the proposed network used for moving object detection.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Models and examples built with TensorFlow
Public Repository for Tech Labs project - Sustainability in your region.
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…
Indian Currency detector using Deeplearning Image classification using transfer Learning Resenet50 model- 10 , 100 and 500.
To predict if the person will by the suv car or not based on parameters like age,salary and gender and display the metrics.
Step by step instructions are given in the form of comments.
The Python micro framework for building web applications.
An Open Source Machine Learning Framework for Everyone