AI Image Analysis Requirements Spec
Budget: €8 – €30 EUR
I need a clear, developer-ready requirements document for an AI system whose core job is data analysis on image data—specifically screencaptures.
Here’s what I’m looking for:
• A concise project overview that states objectives, success criteria, and any assumptions.
• A data section describing expected screencapture formats, resolution ranges, storage locations, and privacy safeguards.
• Detailed functional requirements that walk through the end-to-end pipeline: ingestion, preprocessing, labeling guidelines, and model-ready datasets.
• Non-functional requirements covering performance targets (latency, accuracy, throughput), scalability, and security.
• A modeling strategy outline suggesting suitable computer-vision approaches, necessary libraries or frameworks (e.g., PyTorch, TensorFlow, OpenCV), and how evaluation metrics like precision, recall, and F1 will be tracked.
• Integration points with existing databases or APIs, plus a basic architecture diagram that ties components together.
• A phased timeline with milestones, risk considerations, and a resource estimate so stakeholders can plan staffing and budget down the road.
Deliver the final specification in an editable document (Google Docs or Word) along with any diagrams in an open format (SVG, PNG). My goal is to hand this package directly to a development team and have them start building with minimal follow-up questions.
Here’s what I’m looking for:
• A concise project overview that states objectives, success criteria, and any assumptions.
• A data section describing expected screencapture formats, resolution ranges, storage locations, and privacy safeguards.
• Detailed functional requirements that walk through the end-to-end pipeline: ingestion, preprocessing, labeling guidelines, and model-ready datasets.
• Non-functional requirements covering performance targets (latency, accuracy, throughput), scalability, and security.
• A modeling strategy outline suggesting suitable computer-vision approaches, necessary libraries or frameworks (e.g., PyTorch, TensorFlow, OpenCV), and how evaluation metrics like precision, recall, and F1 will be tracked.
• Integration points with existing databases or APIs, plus a basic architecture diagram that ties components together.
• A phased timeline with milestones, risk considerations, and a resource estimate so stakeholders can plan staffing and budget down the road.
Deliver the final specification in an editable document (Google Docs or Word) along with any diagrams in an open format (SVG, PNG). My goal is to hand this package directly to a development team and have them start building with minimal follow-up questions.