---
language:
- en
license: cc-by-nc-4.0
task_categories:
- object-detection
pretty_name: MovingDroneCrowd++
tags:
- crowd-counting
- tracking
- drone-imagery
---

# MovingDroneCrowd++

MovingDroneCrowd++ is a large-scale video-level dataset dedicated to dense crowd counting and tracking from fast-moving drones. It was introduced in the paper [Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods](https://huggingface.co/papers/2601.12500) (Extended version) and [Video Individual Counting for Moving Drones](https://huggingface.co/papers/2503.10701) (ICCV 2025).

- **GitHub:** [fyw1999/MovingDroneCrowd](https://github.com/fyw1999/MovingDroneCrowd)
- **Paper (Extended):** [Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods](https://huggingface.co/papers/2601.12500)
- **Paper (ICCV 2025):** [Video Individual Counting for Moving Drones](https://huggingface.co/papers/2503.10701)

## Dataset Description

MovingDroneCrowd++ captures dense crowds under diverse flight altitudes, camera angles, and illumination conditions. Each pedestrian head is annotated with a bounding box and an identity ID across frames, enabling tasks such as:
- Video individual counting (VIC)
- Inflow/outflow analysis
- Dense crowd tracking

## Dataset Structure

The expected directory structure for the dataset is as follows:

```text
MovingDroneCrowd++/
+-- frames/
|   +-- scene_1/
|       +-- 1/
|           +-- 1.jpg
|           +-- 2.jpg
|           +-- ...
+-- annotations/
|   +-- scene_1/
|       +-- 1.csv
+-- val.txt
+-- train.txt
+-- test.txt
+-- scene_labels.txt
+-- MDC_val.txt
+-- MDC_train.txt
+-- MDC_test.txt
```

## Annotation Format

Each annotation row follows the MOT-style format:
```text
frame_id, person_id, x, y, w, h, -1, -1, -1, -1
```

The first column is the frame index, the second is the pedestrian identity, and the third to sixth columns are the head bounding box `(x, y, w, h)`.

## Sample Usage

You can download the dataset using the Hugging Face CLI:

```bash
huggingface-cli download fyw1999/MovingDroneCrowd --repo-type dataset --local-dir /path/to/MovingDroneCrowd++
```

## Citation

```bibtex
@article{MDC++_GD3A,
  title={Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods},
  author={Fan, Yaowu and Wan, Jia and Han, Tao and Ma, Andy J. and Ouyang, Wanli and Chan, Antoni B.},
  journal={arXiv preprint arXiv:2601.12500},
  year={2026}
}

@inproceedings{MDC_SDNet,
  title={Video Individual Counting for Moving Drones},
  author={Fan, Yaowu and Wan, Jia bit and Han, Tao and Chan, Antoni B. and Ma, Andy J.},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  month={October},
  year={2025},
  pages={12284--12293}
}
```