Midv-699 -

Review for Ticket MIDV‑699 – “[Insert Ticket Title Here]”
(Assuming this ticket is a feature / bug‑fix implementation in the MIDV project. Replace placeholder text with the actual title, description, and context as needed.)

4. Experimental Evaluation

Motivations and goals

• Bridge the gap between lab datasets and real-world mobile capture: include varied lighting, motion blur, occlusions, reflections, and extreme perspective.
• Scale to hundreds of document classes and many physical exemplars per class to capture intra-class variation (wear, fonts, laminates).
• Provide extensive anti-spoofing scenarios: printed copies, screen replays, handcrafted forgeries, partial overlays, hologram-simulating reflections.
• Support multi-task research: detection, segmentation, text recognition (OCR), field parsing, layout analysis, attribute extraction, identity-matching, temporal stability, and PAD.
• Encourage privacy-aware research practices: limited PII exposure, synthetic or anonymized ground truth where feasible, clear data-use and consent policies.

4. Strengths

| Category | Positive Observations | |----------|-----------------------| | Code Quality | • Clear, single‑responsibility classes.
• Consistent naming and JavaDoc comments.
• Proper use of Optional to avoid null checks. | | Test Coverage | • High unit‑test coverage (> 90 % for new classes).
• Added integration tests that spin up an in‑memory DB, verifying migration and CRUD flow. | | Performance | • Benchmarks show ≤ 15 ms latency for the main service call (well under the 50 ms SLA). | | Security | • Input validation performed using the existing InputSanitizer.
• No new privileged endpoints exposed. | | Documentation | • All new APIs documented with Swagger annotations.
• User‑facing UI changes reflected in the help guide. | | Backward Compatibility | • Feature is gated behind a config flag, making rollout safe. | | Deployment | • Migration script is idempotent; can be re‑run without side effects. | MIDV-699