ArcheoVLM
🏆 Archaeological Site Discovery Results
Breakthrough discoveries using OpenAI GPT-4.1 & GPT-o4 Vision-Language Models for Sky-View Factor analysis
Access complete GPT-4.1/GPT-o4 analysis outputs, Sky-View Factor visualizations, and archaeological site images
Available Analysis Tools:
- • Sky-View Factor (SVF) visualization images analyzed by GPT-4.1
- • GPT-4.1 cluster detection overlays and bounding boxes
- • GPT-o4 validation results and enhanced descriptions
- • OpenAI vision model confidence scores and analysis reports
- • Site location coordinates with GPT-4.1 feature classifications
Detection Details
GPT-4.1 Feature Types
Location
Detection Details
GPT-4.1 Feature Types
Location
Detection Details
GPT-4.1 Feature Types
Location
Detection Details
GPT-4.1 Feature Types
Location
Detection Details
GPT-4.1 Feature Types
Location
Detection Details
GPT-4.1 Feature Types
Location
Detection Details
GPT-4.1 Feature Types
Location
Detection Details
GPT-4.1 Feature Types
Location
Detection Details
GPT-4.1 Feature Types
Location
Detection Details
GPT-4.1 Feature Types
Location
Top 3 Sites Requiring Immediate Field Investigation
RIB_A01_2018_LAS_0_dem.tif (Score: 0.739)
Features a diverse array of structures including rectangular earthworks, square and circular enclosures, linear earthworks, and an unusual "umbrella" feature. The high number of features (10) and their variety suggest a complex site that could offer insights into multifunctional use, possibly combining residential, ceremonial, and defensive purposes.
RIB_A01_2018_LAS_6_dem.tif (Score: 0.704)
Includes 12 features such as circular enclosures, linear earthworks, umbrellas, and rectangular enclosures. The balance between visual line matching (VLM) and computer vision (CV) detections indicates robust data quality, making it a strong candidate for field verification.
RIB_A01_2014_laz_16_dem.tif (Score: 0.701)
Features 12 structures including circular enclosures, umbrellas, rectangular earthworks, and a linear alignment. The presence of a linear alignment could suggest a planned settlement or pathway, warranting further exploration.
Archaeological Significance of the Most Promising Discoveries
🏛️ Sophisticated Engineering
The sites show a variety of geometric forms indicative of sophisticated pre-Columbian engineering and social organization. Circular and rectangular enclosures suggest ceremonial or residential compounds.
⭕ Unique Features
The "umbrella" feature, though less common, could represent a unique architectural style or specific cultural symbol, providing insights into social, political, and economic structures.
🔗 Planned Settlements
Linear earthworks and alignments suggest planned settlements with roads or pathways connecting different parts or linking multiple settlements.
🏗️ Dual-Purpose Sites
The combination of ceremonial and residential features within single sites suggests complex societal structures with integrated residential and ceremonial functions.
Recommendations for Maximizing Discovery Potential
Field Verification
Prioritize the top three sites for immediate fieldwork to validate LiDAR findings. Use ground-penetrating radar (GPR) and other non-invasive techniques to complement LiDAR data.
Interdisciplinary Collaboration
Engage with botanists, soil scientists, and anthropologists to understand environmental and cultural context for a holistic view of how these societies interacted with their environment.
Community Engagement
Involve local communities in the exploration process. Their knowledge can provide valuable insights and foster a sense of ownership and preservation.
Data Integration
Combine LiDAR data with historical records and oral histories to create a comprehensive narrative of the region's past.
These discoveries using GPT-4.1 and GPT-o4 Vision-Language Models for Sky-View Factor analysis have the potential to reshape our understanding of pre-Columbian Amazonian civilizations, revealing them as complex societies with advanced engineering and social structures.