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.

Optimal choice for 🛰 classification problem.

Batch augmentation: paired images plus landmarks

Python notebooks for face recognition of 12 people wearing face masks as a 12-class classification task.

Image and keypoint augmentor based on skimage and imgaug

ROCCO - Framework to train Neural Networks for Semantic Segmentation

A simple banknote recognition convNN

Image Segmentation with UNET

Explore and build ImgAug augmentations with Supervisely

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.

Apply Albumentations to COCO Dataset

Implementation of torchvision-like based on albumentations

In this project, we will be doing object detection and segmentation of various things present in provided image