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Competition4

데이콘 Basic 서울 랜드마크 이미지 분류 경진대회 (3등 / 420명, Top 0.71%) Code import cv2, torch, os, timm, time, warnings, gc, zipfile, telegram, sys, argparse, tqdm, matplotlib.pyplot, torchvision.transforms, pandas, numpy from tqdm import tqdm from torchsummary import summary from torch.utils.data import Dataset, DataLoader from sklearn.model_selection import StratifiedKFold from sklearn.metrics import accuracy_score import pandas as pd import os from glob import g.. 2024. 3. 30.
데이콘 Basic 수화 이미지 분류 경진대회 (8등 / 418명, Top 1.91%) timm을 사용하여서 model 구성하여 작성하였습니다. Code import warnings from glob import glob import pandas as pd import numpy as np from tqdm import tqdm import cv2 import os, gc import timm import random import torch from torch.utils.data import Dataset, DataLoader import torch.nn as nn import torchvision.transforms as transforms from sklearn.metrics import f1_score, accuracy_score import time from sklearn.model.. 2024. 3. 30.
월간 데이콘 컴퓨터비전 이상치 탐지 알고리즘 경진대회 (28등 / 481팀, Top 5.82%) Code ! pip install timm import warnings warnings.filterwarnings('ignore') from glob import glob import pandas as pd import numpy as np from tqdm import tqdm import cv2 import gc import os import timm import random import torch from torch.utils.data import Dataset, DataLoader import torch.nn as nn import torchvision.transforms as transforms from sklearn.metrics import f1_score, accuracy_score imp.. 2024. 3. 30.
2021 Ego-Vision 손동작 인식 AI 경진대회 (Private 5위, Public점수 : 0.16419, DenseNet161, Top 1.72%) https://dacon.io/competitions/official/235805/codeshare/3596?page=1&dtype=recent [Private 5위, Public점수 : 0.16419, DenseNet161 2021 Ego-Vision 손동작 인식 AI 경진대회 dacon.io](https://dacon.io/competitions/official/235805/codeshare/3596?page=1&dtype=recent) 불필요한 정보를 제거하기 위해서 Resize, Random crop 두 가지의 Image processing을 진행하였으며, 학습 모델은 pytorch의 라이브러리로 구성된 DenseNet161 모델을 사용하였습니다. Code import matplotlib.pypl.. 2024. 3. 30.
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