AI场景分类竞赛
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Updated
May 3, 2018 - Python
AI场景分类竞赛
The Oxford-IIIT-Pet dataset - Image classification using CNN
Cross-library augmentation toolbox supporting 300 operators over 8 libraries + AI transforms
Sample implementation codes for a variety of popular image augmentation Python packages
Apply some image augmentation techniques for better classification
Full experimentation notebook for my Keras Example on using RandAugment.
Data Augmentation with PyTorch, Tensorflow, Imgaug and Albumentations. It also involves bounding box augmentation.
Batch augmentation: paired images plus landmarks
Python notebooks for face recognition of 12 people wearing face masks as a 12-class classification task.
A simple banknote recognition convNN
Image and keypoint augmentor based on skimage and imgaug
Explore and build ImgAug augmentations with Supervisely
ROCCO - Framework to train Neural Networks for Semantic Segmentation
Apply Albumentations to COCO Dataset
about three thousand images were used for training CNN.It utilized opencv,NumPy,panda,imaging,Keras, TensorFlow,socketio,as major libraries.the neural network worked well on the first track.the model file stored the trained model.elu and softmax activation functions were employed.It can work on workstations without GPU but takes a considerable a…
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Implementation of torchvision-like based on albumentations
Predefined pipelines for image augmentation
In this project, we will be doing object detection and segmentation of various things present in provided image
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