📚 Module Reference
Browse our complete library of 7 documentation modules. Each module is a reusable piece of documentation that can be combined into procedures and custom guides.
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Convert Label Studio Annotations to YOLO Format
Convert exported Label Studio JSON annotations into YOLO‑style text files and create train/validation splits.
Edit the `data.yaml` File
Update the generated `data.yaml` to reflect the correct class names for your dataset.
Export the Fine‑Tuned Model to ONNX
Convert the best YOLOv11n weights into an ONNX file for Hailo compilation and copy it to another machine if needed.
Fine‑Tune the YOLOv11n Model
Train a YOLOv11n model on your custom dataset using Ultralytics. This step performs the actual fine‑tuning and requires significant compute resour...
Prepare the Fine‑Tuning Environment
Set up a Python virtual environment, copy necessary scripts and data, and install Ultralytics to fine‑tune the YOLOv11n model.
Prune the Dataset
Remove images without bounding boxes from the dataset to ensure training only uses labeled data.
Verify Ultralytics Installation
Run a quick training on a toy dataset to confirm that the Ultralytics YOLO toolkit is installed correctly.