DRSeg Data

DRSeg is a UAV reasoning segmentation benchmark with 10,000 image-level samples. Each sample contains a UAV image, one or more segmentation annotations, a reasoning question, a reasoning answer, and a reasoning type.

Splits

Split	Samples
Train	2,999
Validation	2,000
Test	5,001

Expected Layout

data/DRSeg/
├── DRtrain/
├── DRval/
├── DRtest/
├── label/
│   ├── DRSeg_train.json
│   ├── DRSeg_val.json
│   └── DRSeg_test.json
├── CODrone -> .
└── labels -> label

The CODrone and labels entries are compatibility links for the original dataset loader.

Reasoning Types

spatial: position and spatial relation reasoning.
attribute: visual attribute and object property reasoning.
scene: scene-context reasoning.

Metadata Preview

The HuggingFace dataset repo includes lightweight metadata JSONL files under metadata/. They are intended for dataset-card preview and quick inspection. Use the full image/mask archive for training and evaluation.