arkito/VeritaScan
VeritaScan 🛡️
VeritaScan is a high-performance, lightweight object detection model specifically optimized for Aerial Military Surveillance. It is designed to be deployed on tactical drones with limited onboard computing power.
Developed by M Mashhudur Rahim (XythicK) at Arkito Lab (A Non-Profit Research Organization).
🚀 Model Overview
- Model Size: 5.4 MB
- Target Domain: Aerial/Drone View
- Inference Speed: ~2.7ms per image
📊 Training Results
The model was trained to achieve a solid balance between speed and accuracy for edge devices.
Performance Visualization
The following graphs illustrate the training progress and model evaluation:
Training Curves
🎯 Domain Specialization (Aerial vs Ground)
VeritaMilitary is highly specialized for top-down perspectives. While it may show sensitivity to perspective shifts in ground-level imagery, it demonstrates exceptional precision in aerial views with confidence scores up to 90%.
📦 Multi-Platform Deployment & Downloads
VeritaMilitary supports a wide range of hardware. Click the buttons below to download the optimized formats:
🛠 Usage
from ultralytics import YOLO
# Load VeritaMilitary
model = YOLO('veritascan.pt')
# Run Inference
results = model.predict(source='drone_footage.mp4', imgsz=640, conf=0.25)
results[0].show()🏢 About Arkito Lab
Arkito Lab is a non-profit organization dedicated to open-source research and the development of AI solutions for humanitarian and defense technology.
Maintained by: M Mashhudur Rahim (XythicK)
Cite This Project
If you use this model in your research please cite
@software{XythicK_VeritaScan_2026,
author = {M Mashhudur Rahim (XythicK)},
title = {VeritaScan: Lightweight Nano Object Detection for Aerial Military Surveillance},
year = {2026},
publisher = {Arkito Lab},
url = {https://huggingface.co/arkito/VeritaScan},
}