Simba-brother/MCCP

Website for data set collection

Domain	$Task_A$	$Task_B$
Car	https://www.kaggle.com/datasets/darshan1504/car-body-style-dataset	https://pan.baidu.com/s/1xeYXXIp0V-llV1c9IEqk-w (password:zq4s)
Flower	https://www.kaggle.com/datasets/utkarshsaxenadn/flower-classification-5-classes-roselilyetc	https://www.kaggle.com/datasets/alxmamaev/flowers-recognition
Food	https://www.kaggle.com/datasets/imbikramsaha/food11	https://www.kaggle.com/datasets/manishkc06/food-classification-burger-pizza-coke?select=Training_set_food.csv
Fruit	https://www.kaggle.com/datasets/nguyenductai243/10-fruit	https://www.kaggle.com/datasets/alibaloch/vegetables-fruits-fresh-and-stale
Sport	https://www.kaggle.com/datasets/gpiosenka/sports-classification	https://www.kaggle.com/datasets/rishikeshkonapure/sports-image-dataset
Weather	https://www.kaggle.com/datasets/jagadeesh23/weather-classification	https://www.kaggle.com/datasets/jehanbhathena/weather-dataset
Animal_1	https://www.kaggle.com/datasets/biancaferreira/african-wildlife	https://www.kaggle.com/datasets/brsdincer/danger-of-extinction-animal-image-set/code
Animal_2	https://www.kaggle.com/datasets/ashishsaxena2209/animal-image-datasetdog-cat-and-panda	https://www.kaggle.com/datasets/shiv28/animal-5-mammal
Animal_3	https://www.kaggle.com/datasets/enisahovi/cats-projekat-4	https://www.kaggle.com/datasets/anshulmehtakaggl/wildlife-animals-images?select=cheetah-resize-224

Description of the core document

./model_combination.py
Codes for MCCP joins Teacher Models

./MCCP_retrain.py
Codes for training and evaluation of the MCCP methodology

./HMR_retrain.py
Codes for training and evaluation of the HMR methodology

./CFL_retrain.py
Codes for training and evaluation of the CFL methodology

./Dummy.py
Codes for evaluation of the Dummy methodology

./DecisionTree.py
Codes for evaluation of the DecisionTree methodology

./LogisticRegression.py
Codes for evaluation of the LogisticRegression methodology

./utils.py

1. Tool Code File
   Used in e.g. deleteIgnoreFile,makedir_help,saveData
2. Segmentation and organisation of native datasets

./statistical.py
For statistical work on data, e.g. calculation of Win/Tie/Lose and correlation

./model_prepare folder
It is used to train the teacher model with the aim of obtaining a well-performing teacher model.

./cut_model.py
The code is used to segment the teacher model and obtain the cut teacher model in order to obtain the feature layer output of the teacher model.

./draw.py
Code for statistical data plotting.

./exp_data
The code is used to store variables during the experiment, such as sampled data

./exp_image
Used to store plotted statistical graphs

./DatasetConfig.py
Main configuration file

./DatasetConfig_2.py
Another configuration file

./requirements.txt
Project runtime dependency packages

Download addresses of other Datasets and Models

Since the data set and model are large and the platform has limitations, we upload the remaining data sets and models to the link below. If necessary, you can download them through the link below. https://pan.quark.cn/s/09b446b8f944