Datasets:
metadata
language: en
license: cc-by-4.0
pretty_name: DCSkyCam Full-Scene Wide-Angle Dataset
tags:
- image-classification
- helicopter
- aviation
- computer-vision
- wide-angle
task_categories:
- image-classification
- object-detection
size_categories:
- 1K<n<10K
DCSkyCam Full-Scene Wide-Angle Dataset
This dataset contains full-frame wide-angle images captured by the DCSkyCam — a Raspberry Pi-based webcam in Washington, DC. The images show the full camera field of view as captured by the HQ Camera module with a wide-angle lens.
Dataset Description
The DCSkyCam system used a three-stage detection pipeline:
- Object Detection (SSD MobileNet V3) identifies candidate objects in the sky
- Binary Classifier determines if a candidate is a helicopter or not
- Multi-class Classifier identifies the specific helicopter type
This dataset contains the full-scene context shots captured by the webcam for stage 1.
Image Format
- Format: JPEG
- Resolutions: 3960×2382; Some images might be 1920×1080
- Total images: 4,556
Filename Convention
Class information is encoded in the filename prefix:
- Specific helicopter type (e.g.,
uh1n-*,as350-*, etc.) - Unidentified / not-classified aircraft (i.e.,
unknown-*) - Non-aircraft objects (i.e.,
not_helicopter*)
Class Distribution
helicopter: 4,477 not_helicopter: 79
| heli_subtype | Count |
|---|---|
| UH1N | 1,614 |
| AS350 | 768 |
| MH65 | 559 |
| H60 | 373 |
| B412 | 351 |
| VH3D | 135 |
| S76 | 118 |
| VH92 | 95 |
| EC35 | 91 |
| AW139 | 35 |
| UH72 | 25 |
| EC45 | 18 |
| MD52 | 9 |
| B206 | 3 |
| AH6 | 2 |
| B429 | 2 |
| V22 | 1 |
| Unknown | 278 |
Usage Notes
- These images represent the full camera frame and may be useful for object detection and other tasks.
- Note that the object detection was performed prior to lens geometry correction, and the images in this dataset are post-geometry correction. As a result, some aircraft from the helicopter-classification dataset might not be in the visible area of the images in this dataset.
- This dataset provides the full context for the cropped classification images in the helicopter-classification dataset. The hashes in the filenames can be used to map the full-scene image and the cropped object image.
- The dataset excludes images used for data augmentation during model training.
License
This dataset is licensed under the Creative Commons Attribution 4.0 International License.
Citation
@misc{dcskycam_dataset,
title = {DCSkyCam Full-Scene Wide-Angle Dataset},
author = {DCSkyCam contributors},
year = {2026},
url = {https://huggingface.co/datasets/dcskycam/full-scene},
license = {CC-BY-4.0}
}
Project Information
The DCSkyCam project was an AI-enabled sky monitoring system built on Raspberry Pi that automatically detected and identified helicopters using TensorFlow Lite models.