Curate 1000-Image Research Dataset

@schoudhary1553

With almost a decade of experience as a Full Stack developer, I have honed my skills in web scraping and web automation - both of which are crucial for completing this project. My familiarity with tools like Python, BeautifulSoup, and Selenium makes me an ideal candidate as I can utilize them efficiently to ensure the dataset's quality and compliance with site terms. My commitment to ensuring employer satisfaction is unwavering and I guarantee a quick turnaround on tasks while still maintaining excellent output. Plus, you only pay if you're fully content with what I deliver! Additionally, my extensive experience with companies like Metlife GOSC, DXC Technologies, and Elite Services has given me a thorough knowledge of public domain rights and licenses. I'm highly organized and detail-oriented - two necessary qualities for curating an extensive dataset. My aim is to not just complete the job efficiently but also build long-term relationships with my clients. So let’s get started on your academic research dataset.

@muneeb6767

I'll curate your research image dataset using Python/BeautifulSoup with public domain sources. I'll deliver <1,000 legally compliant images with CSV metadata and organized folder structure.

@abdf2010

Hi, I noticed your "Curate 1000-Image Research Dataset" and believe I can help. My work in Python has prepared me well for this kind of project. Looking forward to hearing your thoughts.

@singhashishb2

Hello, I can deliver a clean, well-structured dataset of fewer than 1,000 legally usable images curated strictly for academic research. With strong experience in **Python, BeautifulSoup, Selenium, data mining, and web scraping**, I will source images from permissive or public-domain repositories only, verify licence clarity, and organize everything into a neatly named folder structure. Each file will be accompanied by a **CSV containing filename, original URL, and licence notes**, with checks for duplicates, broken links, and resolution requirements. I focus on accuracy, clean curation, and full compliance with site terms of service. I’m ready to begin as soon as you share the subject matter and guidelines.

@aditya81023

I understand you need • Legally usable for research (public domain or clearly permissive licence). • Supplied at a reasonable resolution (at least 800 × 800 px unless the source is smaller). • Accompanied by a simple CSV listing file-name, original URL, and licence note.I have already done such work in past DM me directly and I will walk you through the method I am thinking to use for the problem statement. Waiting for your message, Once you message consider your work done. Thanks in Advance, Aditya Kumar

@vk2699945

Expert in compliant academic image collection. Will deliver legally sourced, organized dataset with full CSV. Ready to start.

@abhishekv180

Hello, I can curate a clean, well-structured image dataset suitable for academic research, with full attention to licensing, accuracy, and organisation. Once the subject matter and guidelines are shared, I will collect fewer than 1,000 images strictly from public-domain or permissive-license sources, ensuring the required resolution is met. Each image will be placed in a clear folder structure and accompanied by a CSV containing the file name, original source URL, and licence information. I use Python-based tools (BeautifulSoup, Selenium) along with manual verification to avoid duplicates, broken links, and licence ambiguity. Before delivery, I perform a final quality check to ensure the dataset is complete and review-ready. Happy to discuss details and get started.

@Elaarson

Hello, ELAARSON can assist you in curating a high-quality image dataset strictly for academic research. We are a software testing and engineering company with strong expertise in web data scraping, ethical data collection, and research-focused dataset preparation. Our team regularly works on structured data extraction and media collection projects, ensuring compliance with licensing, accuracy, and clean organization. We follow a controlled and verifiable process so the final dataset is ready for direct academic use. Our approach: • Identify reliable public-domain or permissive-license image sources • Curate fewer than 1,000 images based on your research topic and guidelines • Ensure minimum resolution requirements are met (800×800 px where available) • Remove duplicates and validate image quality • Maintain a clear, well-organized folder structure with descriptive naming Metadata delivery: • Provide a CSV file with: – Image file name – Original source URL – License or usage note Execution details: • Use Python-based scraping tools (BeautifulSoup, Selenium) combined with manual license verification • Perform final spot-checks for broken links, duplicates, and license clarity Once completed, the dataset will be clean, compliant, and ready for review. We can also suggest suitable sources or categories once the subject matter is shared. Regards, Srikant Sharma ELAARSON Complete QA – AI Solutions

@shikharj5

Hi, I understand you need a well-organised research-ready image dataset (under 1,000 images) with clear licensing, reliable sources, and a clean CSV containing filenames, source URLs, and licence notes. I’ve worked on academic and ML research datasets involving image collection, licence verification, deduplication, and structured delivery. For this project, I will: Curate images strictly from public-domain or permissive licences (e.g., CC-BY/CC0) Ensure minimum 800×800 resolution (unless source-limited) Organize images in a clear folder hierarchy Generate a clean CSV with filename, original URL, and licence details Run checks for duplicates, broken links, and licence clarity I’m comfortable using Python, BeautifulSoup, Selenium, and manual verification where needed, while respecting site terms of service. Timeline: 4 days after subject matter and guidelines are shared. I can also suggest useful sources or category splits once I understand the research focus. Looking forward to collaborating. — Shikhar

@kathiravans2

I can assemble a well-organised image set under the constraints you described, including keeping the total below 1,000 images, ensuring appropriate resolution, and verifying that all files are legally usable for academic research. I’ll also provide a clean folder structure along with a CSV containing file name, original source URL, and licence notes for each image.

@Leitos05

I have a lot of free time, I will focus only on this project. I also already did similar jobs to this one for school and personal projects