Finally, offer to assist with more positive or constructive topics related to hijab fashion if the user is interested in that area without any inappropriate connotations.
| Platform | Share of Top‑Ranked Images | Primary Content Type | Typical Caption / Tag | |----------|----------------------------|----------------------|-----------------------| | | 38 % | Photo‑carousels, lifestyle shots, product tags | #jilbab #modestfashion #ootd #muslimstyle | | Pinterest | 27 % | Mood‑boards, “How‑to‑wear” infographics | “Jilbab outfit ideas”, “Jilbab styling guide” | | Google Images | 21 % | Blog‑post featured images, e‑commerce thumbnails | “Jilbab hijab collection 2024”, “Buy jilbab online” | | TikTok (still‑frames) | 9 % | Quick‑change videos, runway clips | #jilbabchallenge, “Jilbab transition” | | Others (Twitter, Facebook, Reddit) | 5 % | News articles, community posts | “Jilbab controversy”, “Modest fashion summit” | ngintip jilbab pipisblpraljml3lgngv0jiyvwdxq8 images top
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: Searching for or sharing content that involves voyeurism, objectification, or privacy violations (e.g., "ngintip" in Indonesian implies peeking or spying) is unethical and harmful. Respecting individuals' privacy, especially within cultural or religious contexts (such as hijab-wearing individuals), is essential. Finally, offer to assist with more positive or
def download_images(urls: List[str], dest_dir: str = "./downloaded_images") -> List[pathlib.Path]: """ Download each image URL to ``dest_dir``. Returns list of pathlib.Path objects. """ pathlib.Path(dest_dir).mkdir(parents=True, exist_ok=True) saved_paths = [] def download_images(urls: List[str], dest_dir: str = "
…and receive a JSON array of image URLs.
# demo.py from image_search import get_top_image_urls