Building an Aerial Dataset Pipeline

Problem definition

I need a reproducible pipeline that converts annotated aerial imagery into model training data.

Steps

1. Document the annotation format

   Open the dataset repository and record the annotation format and class definitions.

2. Convert to the framework layout

   Write a small converter that maps the dataset annotations into the framework's documented data layout.

3. Split and validate

   Create train and validation splits and verify a few samples render correctly.

4. Run a small training job

   Train on a subset first to validate the pipeline before scaling up.

Guide

Judgment criteria

• The pipeline is correct when the framework trains on the converted data without format errors.
• Every conversion step is documented so results are reproducible.

Common risks

• Mismatching the dataset's annotation semantics with the framework's expectation.
• Splitting data in a way that leaks frames from the same flight into both train and validation.

Checklist