👑 Agba Engine: Open-Source Heritage Search Engine
Agba Engine is a cross-modal Vision-Language Model (VLM) architecture designed for zero-shot heritage artifact retrieval. By mapping raw visual feature representations and authentic cultural metadata into a shared 256-dimensional Interlingua space, Agba Engine bridges high-dimensional spatial geometry and globally underrepresented heritage regalia.
🌟 Key Architectural Features
- Dual Projection Translators: Fine-tuned linear projection heads mapped on top of OpenCLIP (
ViT-B-32). - InfoNCE Contrastive Calibration: Trained via
AdamWoptimizer, driving alignment loss from1.9409down to0.0003. - Zero-Shot Cultural Search: Query tangible artifacts using free-form natural language strings.
- Cognitive Spatial Discrimination: Evaluates visual clarity, geometry, and occlusion over simple label memorization.
📊 Performance & Zero-Shot Validation
Training Loss Convergence (Epochs 1 ──► 50)
- Initial InfoNCE Baseline:
1.9409 - Final Converged Loss:
0.0003 - Optimizer:
AdamW(lr = 5e-4,weight_decay = 1e-2)
Zero-Shot Retrieval Benchmark Results
| Search Query | Top Match Anchor | Indigenous Nomenclature | Match Confidence |
|---|---|---|---|
"Royal Wrist Beads" |
wrist_frame_01.jpg |
Ìlẹ̀kẹ̀ Ọwọ́ | 67.74% 🎯 |
"Royal Leg Beads" |
leg_frame_31.jpg |
Ìlẹ̀kẹ̀ Ẹsẹ̀ (Macro-Left) | 61.39% 🎯 |
🛡️ License
Distributed under the MIT License. See LICENSE for more details.
1 maintainer
Metadata
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Release files for agba-engine 5.0.9
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