Building an Aerial Dataset Pipeline

问题定义

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

步骤（{count}）

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.

指南

判断标准

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

常见风险

• 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.

检查表（{count}）