Creation of a Labeled Hair Color Dataset

Project Title: Creation of a Labeled Hair Color Dataset Description: The objective of this project is to create a high-quality, diverse, and labeled hair color dataset. The dataset will be used for the development and testing of machine learning algorithms related to hair color recognition and classification. This project will take place in two steps: Step 1: Initial Testing Phase We require a collection of 500 high-quality images, with 100 images for each of 5 distinct hair colors.(Black, Brown, Blond, Red, Gray) This initial batch is intended for quality assurance to ensure our requirements are met. Step 2: Expanded Dataset Upon satisfactory completion of the first step, we would proceed to the second step which involves the collection and labeling of 20,000 images - 500 images each for 40 various hair color shades. Specific requirements include: 1. Variety: The dataset should be inclusive and represent diverse individuals. Images should include varying ages, ethnicities, and genders. 2. Image Quality: Photos need to be clear and high-resolution, with the individual's hair color visible and unobstructed. 3. Labeling: Each image should be labeled with the corresponding hair color accurately. 4. Data Format: Dataset should be handed over in a standard data format - either CSV or JSON. 5. Consent: It is crucial that all images are collected compliant with GDPR and other norms, respecting copyright laws and individual rights. Any images used should be publicly available or consent should be obtained where necessary. Pricing: We are offering $1 for every 100 images. Therefore, $5 for step 1 and $200 for total project. Your contribution to this project can potentially advance the field of machine learning and data science, particularly in areas like fashion, beauty, cosmetology, and personal care. We look forward to working with you.