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| title: Connectivia Labs | |
| emoji: π°οΈ | |
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| # Connectivia Labs | |
| **Applied computer vision for defense, ISR, and agriculture.** | |
| Connectivia Labs builds production-grade vision models and platforms that turn raw sensor feeds into operational intelligence. Our work spans defense β drone surveillance, maritime domain awareness, and threat detection β and precision agriculture, where the same core CV stack drives crop health, pest and weed detection, and biomass estimation. | |
| ## Platforms | |
| | Platform | Domain | Description | | |
| |---|---|---| | |
| | **OmniSense Defense** | Defense ISR | Multi-sensor ISR prototype combining live CV detection, VLM tactical assessment, fire and satellite intel, and operator workflows | | |
| | **MediaSense** | Media analysis | Content and media analysis platform built on the OmniSense core | | |
| | **YieldPulse** | Agriculture | Precision agriculture analytics β biomass, yield, and plant health | | |
| ## Models | |
| ### Defense / ISR | |
| - [**YOLO26-Detection**](https://hf.co/ConnectiviaLabs/YOLO26-Detection) β general object detection (YOLO26 Large) | |
| - [**DroneDetection**](https://hf.co/ConnectiviaLabs/DroneDetection) β drone-as-object detector | |
| - [**Maritime_Custom**](https://hf.co/ConnectiviaLabs/Maritime_Custom) β vessel and ship detection (YOLO26, multi-class) | |
| - [**ThreatDetection-YOLOv8n**](https://hf.co/ConnectiviaLabs/ThreatDetection-YOLOv8n) β 4-class threat (gun / knife / explosive / grenade) | |
| - [**MilitaryConvoy-YOLO26L**](https://hf.co/ConnectiviaLabs/MilitaryConvoy-YOLO26L) β military vehicle and convoy detection | |
| - [**yolo26l-pose**](https://hf.co/ConnectiviaLabs/yolo26l-pose) β pose and keypoint estimation | |
| - [**ThreatDetection-RFDETR**](https://hf.co/ConnectiviaLabs/ThreatDetection-RFDETR) β RF-DETR based threat detection (alternative architecture) | |
| ### Aerial / VisDrone | |
| - [**DroneVision-VisDrone**](https://hf.co/ConnectiviaLabs/DroneVision-VisDrone) | |
| - [**VisDrone-YOLO11L**](https://hf.co/ConnectiviaLabs/VisDrone-YOLO11L) | |
| - [**MilitaryConvoy-YOLO11L**](https://hf.co/ConnectiviaLabs/MilitaryConvoy-YOLO11L) | |
| - [**DroneDetectionV.2**](https://hf.co/ConnectiviaLabs/DroneDetectionV.2) | |
| ### Agriculture & Aquaculture | |
| - [**YieldPulse Biomass**](https://hf.co/ConnectiviaLabs/yieldpulse-biomass) β biomass estimation for crop yield forecasting | |
| - [**WeedDetection-YOLOv8s**](https://hf.co/ConnectiviaLabs/WeedDetection-YOLOv8s) β weed detection for precision spraying | |
| - [**PestDetection-YOLO11s**](https://hf.co/ConnectiviaLabs/PestDetection-YOLO11s) β pest detection for IPM workflows | |
| - [**FishDetection**](https://hf.co/ConnectiviaLabs/FishDetection) β underwater fish detection for aquaculture | |
| ## Access | |
| Most models in this organization are private. For licensing, evaluation, or collaboration inquiries, please reach out through our main site. | |
| --- | |
| *Models here are trained on a mix of public datasets (VisDrone, ABoships, CCTV-Gun, MilitaryVehicleRecognition, and others) and proprietary data. Individual model cards document their training data, intended use, and limitations.* | |