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02Internal Tool / Development

AMPHORA AI

Visual intelligence laboratory

AMPHORA AI is an internal visual intelligence lab. It combines photo quality scoring, data annotation, AI result validation, and model training management in a single human + machine workflow.

Let's talk pilot
Q: 8.4Face ✓
Dataset ADataset BTrain

Problem

Computer vision models require quality datasets and continuous validation. Without annotation and scoring tools, AI quality degrades with every iteration.

Who it's for

Internal AI teams. Technology partners working on visual models.

How it works

Photos enter the scoring panel. AI proposes bounding boxes, emotions, and quality scores. Humans validate, build datasets, and launch model training — locally or in the cloud.

User flow

  1. 1Import event materials
  2. 2Automatic quality scoring and detection
  3. 3Manual validation by annotator
  4. 4Create training dataset
  5. 5Launch and monitor model training

Features

  • Photo quality scoring
  • Face and emotion detection
  • Data annotation
  • Dataset creation
  • Manual AI result validation
  • Human + AI workflow
  • Local processing
  • Model training management

Technologies

Dataset ManagementVisual AIHuman-in-the-loopModel TrainingQuality Scoring

Roadmap

  • Export datasets to standard formats
  • Model version comparison
  • API for external annotators

Let's talk pilot

An environment for analyzing, selecting, scoring, and training models on photos and event materials.

Tell us about your process