| --- |
| 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: |
| 1. **Object Detection** (SSD MobileNet V3) identifies candidate objects in the sky |
| 2. **Binary Classifier** determines if a candidate is a helicopter or not |
| 3. **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](https://huggingface.co/datasets/dcskycam/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](https://huggingface.co/datasets/dcskycam/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](https://creativecommons.org/licenses/by/4.0/). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @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. |
|
|
|
|
