In This repo. we have one folder THE BASIC THREE which consist of two files,The Cifar_10 and mnist_from_scratch. I directly imported data using Kaggle API instead of downloading Data. Main motto of this is to use this repo as refrence while working on my other cv projects.
dataset used: CIFAR_10
model used: ResNet50
dataset used: Mnist
model used: created neural network from scratch
The projects in this repository use the following libraries:
- numpy:
import numpy as np - pandas:
import pandas as pd - PIL (Pillow):
from PIL import Image - matplotlib:
import matplotlib.pyplot as plt - scikit-learn:
from sklearn.model_selection import train_test_split - py7zr:
import py7zr - ZipFile:
from zipfile import ZipFile - OpenCV (cv2):
import cv2 - scikit-learn:
from sklearn.model_selection import train_test_split - TensorFlow:
Make sure to replace the version numbers with the versions you have used in your projects. The badges provide a visual representation of the library versions, and users can click on them to access the official documentation.
Feel free to customize the URLs, library names, and version numbers based on your actual dependencies.