---
title: YOLOv26n VisDrone Detection
emoji: 🚁
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 6.20.0
app_file: app.py
short_description: Drone/aerial object detection with YOLOv26n on VisDrone
python_version: "3.12"
startup_duration_timeout: 30m
models:
  - dronefreak/visdrone-yolov26n
tags:
  - object-detection
  - yolo
  - drone
  - aerial
  - visdrone
  - ultralytics
---

# YOLOv26n VisDrone Object Detection

This Space runs [dronefreak/visdrone-yolov26n](https://huggingface.co/dronefreak/visdrone-yolov26n), a lightweight 2.6M-parameter YOLOv26n object detector fine-tuned on the VisDrone benchmark for aerial/drone imagery.

## Detected Classes

pedestrian, people, bicycle, car, van, truck, tricycle, awning-tricycle, bus, motor

## How to use

1. Upload a drone/aerial image (or pick an example below).
2. Adjust confidence / IoU thresholds if needed (collapsed under *Detection Settings*).
3. Click **Detect Objects**.