Piotr Krawiec
Add how to use and results
0f19159
|
raw
history blame
868 Bytes
metadata
license: mit
tags:
  - ultralyticsplus
  - yolov8
  - ultralytics
  - yolo
  - vision
  - instance-segmentation
  - pytorch
  - awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.57
inference: false

YOLOv8s trained on solar panels dataset https://app.roboflow.com/rzeszow-university-of-technology/solar-panels-seg/2

Inference API: On Roboflow

Training results

Results

Labels: Labels

Predictions: Preds

How to use

  1. Instal ultralytics package. Follow their guide here: Quickstart
  2. Clone this repository.
  3. Run inference
yolo segment predict model=best.pt imgsz=640 save=True source=image.png