Note
This is COG + Gradio wrapper for Droneforge's YOLOv11 UAV Finetune model, intended to be deployed on Replicate.com and Hugging Face Spaces
Deployed on Replicate: https://replicate.com/meltred/yolov11n-uav-finetune
Deployed on Hugging: https://huggingface.co/spaces/kunalsin9h/yolov11-uav-finetune
OPEN SOURCE. SMALL MODEL. UAV DETECTION.
┌─────────────────────────────────────┐
│ TRAINING PERFORMANCE │
├─────────────────────────────────────┤
│ dj-air3 │ 96.8% mAP50 │
│ uav │ 80.1% mAP50 │
└─────────────────────────────────────┘
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Lightweight YOLO11n finetuned for unmanned aerial vehicles.
Built for edge deployment.
┌─────────────────────────────────────┐
│ MODEL │ YOLO11n backbone │
│ INPUT │ 640x640 RGB │
│ OUTPUT │ UAV bounding boxes │
│ TARGET │ Mobile/Edge deploy │
└─────────────────────────────────────┘
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████ TRAIN: 6877 images (70%)
████ VALID: 1966 images (20%)
████ TEST: 985 images (10%)
PREPROCESSING: Auto-orient → Resize to 640x640
AUGMENTATIONS: None applied.
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├── yolov11n-UAV-finetune.pt [PyTorch]
└── yolov11n-UAV-finetune.onnx [ONNX]
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@misc{
uav-detection-blxxz_dataset,
title = { uav-detection Dataset },
type = { Open Source Dataset },
author = { UAVdetection },
howpublished = { \url{ https://universe.roboflow.com/uavdetection-msr99/uav-detection-blxxz } },
url = { https://universe.roboflow.com/uavdetection-msr99/uav-detection-blxxz },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { apr },
note = { visited on 2025-08-16 },
}█████████████████████████████████████████
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█ OPEN SOURCE UAV DETECTION FOR ALL █
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=======--- title: Yolov11 Uav Finetune emoji: 🏆 colorFrom: blue colorTo: yellow sdk: gradio sdk_version: 5.42.0 app_file: app.py pinned: false license: mit short_description: Inference for 𖥂 droneforge/yolov11n-UAV-finetune
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference