Found 321 repositories(showing 30)
深度学习技术与应用大作业,Kaggle植物分类,Peking University
WuZhuoran
Kaggle Competition Project as well as ANLY 590 Final Project. Task: Determine the species of a seedling from an image
Plant Seedlings Classification from kaggle competition
tensorinfinity
No description available
deepblacksky
No description available
asiedubrempong
Plant seedlings classification with a CNN
植物幼苗识别
anisha2102
A basic classifier for the Kaggle Contest, "Plant Seedlings Classification" in Keras.
matrixBT
Kaggle Competition: https://kaggle.com/c/plant-seedlings-classification
Pzugatti
By using the convolutional neural network (CNN) to classify the plant seedling with the support of Keras libraries
TheSaintIndiano
Determine a seedling Species from an image based on Kaggle Competition
raghavm1
The code and submissions for the Kaggle Plant Seedling Classification Challenge
Kaggle competition for plant seedlings classification.
sarahzhouUestc
Kaggle competition of 'Plant Seedlings Classification'
Axel-Bravo
Kaggle | Plant Seedlings Classification
参与Kaggle上的plant seeding classification的比赛,利用传统的图像特征提取方法以及传统机器学习达到78%的准确率
GodsDusk
kaggle competition, top 6% (47th of 836)
happyjason24
plant_seedlings_classification
emirkaanozdemr
No description available
sharmaroshan
It has 12 Classes for twelve different types of crops. This Dataset is in a zip file containing twelve folders of each plant containing their pictures. It is a Image Classification Problem, which can be easily solved Deep Learning Models such CNN(Convolutional Neural Networks)
NEU-s-coder
基于SVM的Plant Seedlings Classification植物分类
No description available
amitkayal
Plant Seedlings Classification
ducnh279
EfficientNet
Plant classification using pytorch
ApLife1827
No description available
SujithBonthala
Final Project of Computer Vision with Deep Learning PESU-I/O
No description available
Classification of diseased and healthy tree, aquatic and seedling plants
Welcome to the Plant Seedling Classification repository! This codebase contains the necessary code to train and evaluate a model for classifying weed and crop seedlings.