Spaces:
Running on Zero
Running on Zero
metadata
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, 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
- Upload a drone/aerial image (or pick an example below).
- Adjust confidence / IoU thresholds if needed (collapsed under Detection Settings).
- Click Detect Objects.