Human Evaluation for the Visual Outputs Generative Models Produce.
A generated image can look polished and still fail the prompt, distort important details, introduce visual artifacts, or lose consistency across frames. Josisoft builds human evaluation workflows around your model outputs, prompts, scoring rubric, failure taxonomy, safety criteria, and comparison protocol so image and video generation systems can be evaluated against the qualities that matter for the intended use case.
Talk to a Data Specialist“A delivery van parked beside a modern warehouse at sunset.”
Core Image & Video Evaluation Capabilities

Prompt-to-Visual Alignment & Semantic Faithfulness
Rubric-based scoring evaluating how accurately generated images or video clips follow prompt directives, including subject counts, spatial relationships, actions, color assignments, and negative prompt exclusions.

Multi-Turn & Conversational Visual Prompt Fidelity
Evaluation of iterative text-to-image/video generation across sequential chat turns, measuring canvas state persistence, localized adjustments, and the model's ability to execute progressive user revisions without resetting the scene.

Visual Artifact & Anatomical Fidelity Scoring
High-resolution inspection isolating generative rendering glitches, including malformed hands, unnatural limb counts, facial asymmetries, texture warping, skin plasticization, and synthetic noise patterns.

In-Image Typography & Glyph Rendering Accuracy
Character-level and word-level scoring of rendered text inside images and video scenes, verifying spelling precision, character legibility, font styling, and logo reconstruction.

Physical Commonsense & Optical Realism
Physical consistency evaluation checking light source origins, cast shadow angles, mirror and glass reflections, perspective vanishing points, and real-world scale proportions.

Video Temporal Coherence & Subject Persistence
Frame-by-frame temporal auditing measuring character identity drift, background warping, frame-to-frame flicker, line jitter, and visual morphing across continuous video clips.

Kinematic Realism & Motion Dynamics
Evaluation of physical motion plausibility in generated video, analyzing character gaits, momentum transfer, fluid flows, cloth simulation, gravity, and collision responses.

Audiovisual Synchronization & Lip-Sync Evaluation
Frame-accurate verification of phoneme-to-viseme mouth shape alignment, audio-driven facial expressions, sound-effect timing, and voice-to-speaker sync in multimodal video generations.

Camera Trajectory & Cinematographic Control
Validation of directed camera movements, verifying execution of specified cinematic maneuvers—such as pans, tilts, dollies, tracking shots, crane sweeps, and focal zooms.

Multi-Shot Narrative Coherence & Scene Continuity
Sequential evaluation of multi-shot generative video pipelines, verifying character identity retention, set continuity, wardrobe stability, and narrative logic across camera cuts.

Instruction-Based Inpainting & Editing Evaluation
Evaluation of localized visual editing workflows, scoring whether instruction-guided inpainting, outpainting, or object replacement preserves unaltered surrounding context with seamless edge blending.

Brand Style & Visual Identity Adherence
Auditing generated marketing visuals against strict commercial brand books, color swatches, aesthetic palettes, composition guidelines, and custom LoRA stylistic constraints.

Factual, Historical & Diagrammatic Accuracy
Domain verification identifying visual hallucinations across historical events, military uniforms, scientific diagrams, geographical landmarks, and architectural structures.

IP, Copyright & Trademark Infringement Auditing
Screening generated visual outputs for unauthorized reproduction of copyrighted characters, artist style plagiarism, watermarks, corporate trademarks, and protected likenesses.

Ethical, Cultural & Demographic Representation
Multi-cultural auditing evaluating generated content for demographic balance, avoidance of harmful stereotypes, cultural taboos, non-consensual deepfake generation, and NSFW leaks.
Tooling & Platform-Agnostic Execution
Client-Hosted Evaluation Platforms
Our evaluation teams can work directly inside client-approved model evaluation environments supporting prompt-output review, scoring rubrics, preference selection, issue tagging, and adjudication workflows.
Proprietary Client Consoles
Reviewers can operate within client-owned evaluation interfaces through approved secure access, following your exact rubric, score scale, preference protocol, failure taxonomy, safety criteria, and review stages.
Josisoft Managed Evaluation Workspaces
When no production review interface is available, we can configure controlled project workspaces around your prompts, model outputs, evaluator rubric, issue taxonomy, reviewer roles, and QA stages for pilot and scaled evaluation.
Real-World Visual Model Evaluation Applications
Van beside warehouse
Text-to-Image Model Evaluation
Review image-generation outputs for prompt alignment, composition, visual defects, realism, instruction following, style requirements, and client-defined quality standards.
Text-to-Video Model Evaluation
Evaluate generated videos for prompt compliance, subject consistency, temporal continuity, motion quality, frame stability, visual artifacts, and scene coherence.
Image Editing & Transformation Models
Compare requested edits against generated results to evaluate preservation, localized changes, instruction following, visual coherence, and unintended modifications.
Security, Compliance & Workforce Governance
Mandatory Bilateral NDAs
Every annotator, QA reviewer, and project manager signs an NDA before accessing project assets.
Security & Clean-Room Training
Personnel are trained on data confidentiality: strict restrictions on screen sharing, zero tolerance for screen recording or screenshots, and supervised session management.
Governed Physical Delivery Hub
On-premise operations at our central Durgapur facility enforce controlled local networks, restricted USB and removable media ports, and supervised work environments.
Isolated Hybrid Pods
Each client is assigned a dedicated team working in siloed environments, preventing cross-project data contamination and maintaining domain context.
Start With a Calibrated Visual Evaluation Pilot.
Share a representative prompt set, generated outputs, scoring rubric, failure taxonomy, and acceptance criteria with our delivery team. We will calibrate evaluator decisions, complete a controlled pilot batch, review disagreement and difficult edge cases, and return the evaluation sample for acceptance before production scaling.