https://github.com/deenuy/cnn-obj-recognitions

Repo for learning various CNN architectures for image & video based object detections using pre-trained models like VGGNet, MobileNet-SSD, ResNet, Mask R-CNN, YoLo, Inception, and Xception models using Tensorflow, Keras, OpenCV, Caffe, DarkNet
https://github.com/deenuy/cnn-obj-recognitions

cnn-for-visual-recognition convolutional-neural-network deep-learning image-recognition keras-tensorflow machine-learning mask-rcnn mobilenet-ssd opencv-python resnet-50 vgg16 vgg19 yolov3 yolov4

Last synced: 6 months ago
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Repo for learning various CNN architectures for image & video based object detections using pre-trained models like VGGNet, MobileNet-SSD, ResNet, Mask R-CNN, YoLo, Inception, and Xception models using Tensorflow, Keras, OpenCV, Caffe, DarkNet

• Host: GitHub
• URL: https://github.com/deenuy/cnn-obj-recognitions
• Owner: deenuy
• Created: 2022-05-25T04:37:47.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2022-05-25T04:57:46.000Z (over 3 years ago)
• Last Synced: 2025-02-12T06:21:20.095Z (8 months ago)
• Topics: cnn-for-visual-recognition, convolutional-neural-network, deep-learning, image-recognition, keras-tensorflow, machine-learning, mask-rcnn, mobilenet-ssd, opencv-python, resnet-50, vgg16, vgg19, yolov3, yolov4
• Language: Jupyter Notebook
• Homepage:
• Size: 43.1 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# CNN architectures and pre-trained models for object detection

### Convolutional Neural Net based architectures for image and video object detections with improving accuracy and speed

- Repo for learning various CNN architectures for image & video based object detections using pre-trained models like VGGNet, MobileNet-SSD, ResNet, Mask R-CNN, YoLo, Inception, and Xception models using Tensorflow, Keras, OpenCV, Caffe, DarkNet