Image Dataset Preparation for AI
Budget: $15 – $25 USD
I am building a computer-vision model and now need a partner to assemble a clean, well-structured image dataset that the algorithm can learn from. Your role is to source, verify, and deliver images that match the categories and quality guidelines I will share once we start.
You will receive a taxonomy of classes, resolution requirements, and naming conventions. From there, I expect you to:
• collect or create images that meet the specs,
• screen out duplicates or low-quality shots,
• organise everything in clearly labelled folders, and
• produce a simple CSV manifest (file name, class label, and any extra metadata we decide on).
I am open to your preferred tools—Python scripts, scraping utilities, Photoshop, or manual curation—so long as the final dataset is ready for direct ingestion into common training pipelines such as TensorFlow or PyTorch.
Please outline your experience with previous image-based AI projects and tell me how quickly you can turn around an initial sample batch.
You will receive a taxonomy of classes, resolution requirements, and naming conventions. From there, I expect you to:
• collect or create images that meet the specs,
• screen out duplicates or low-quality shots,
• organise everything in clearly labelled folders, and
• produce a simple CSV manifest (file name, class label, and any extra metadata we decide on).
I am open to your preferred tools—Python scripts, scraping utilities, Photoshop, or manual curation—so long as the final dataset is ready for direct ingestion into common training pipelines such as TensorFlow or PyTorch.
Please outline your experience with previous image-based AI projects and tell me how quickly you can turn around an initial sample batch.