Mini-ImageNet / src /collection /download_dataset_kg.py
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import os
# ================================
# 0. μ„€μ •
# ================================
TARGET_COUNT = 60
MIN_RES = 128 # 해상도 128
PREFIX = "kg"
BASE_DIR = "./data/raw"
# ================================
# 1. λ‹€μš΄λ‘œλ“œ 경둜
# ================================
DOWNLOAD_PATH = "data/raw_full_kg"
os.makedirs(DOWNLOAD_PATH, exist_ok=True)
# ================================
# 2. μ‚¬μš©ν•  Kaggle 데이터셋 (slug κΈ°μ€€)
# ================================
DATASETS = [
# μŒμ‹ 및 μ‹μž¬λ£Œ
"kmader/food41",
# 동물
"alessiocorrado99/animals10",
"gpiosenka/100-bird-species",
# 꽃
"alxmamaev/flowers-recognition",
# 과일
"moltean/fruits",
"yihfeng/strawberry-maturity",
# νƒˆκ²ƒ
"sshikamaru/car-object-detection",
"jessicali9530/stanford-cars-dataset",
"dataclusterlabs/vehicle-detection-image-dataset",
"meowmeowmeowmeowmeow/vehicle-type-recognition",
# νŒ¨μ…˜ 및 μž‘ν™”
"promptcloudhq/jewelry-text-to-image-dataset",
"ashwingupta3012/glasses-dataset",
"agrigorev/clothing-dataset-full",
"paramaggarwal/fashion-product-images-small"
]
# ================================
# 3. λ‹€μš΄λ‘œλ“œ μ‹€ν–‰
# ================================
for ds in DATASETS:
print(f"\nDownloading {ds} ...")
os.system(f"kaggle datasets download -d {ds} -p {DOWNLOAD_PATH}")
print("\nλͺ¨λ“  데이터셋 λ‹€μš΄λ‘œλ“œ μ™„λ£Œ!")