| --- |
| license: apache-2.0 |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - zero-shot-object-detection |
| - zero-shot-image-classification |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| splits: |
| - name: train |
| num_bytes: 1486623411.242 |
| num_examples: 2338 |
| download_size: 1482027997 |
| dataset_size: 1486623411.242 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| tags: |
| - flying |
| - objects |
| - drones |
| - planes |
| --- |
| # Described Flying Objects |
|
|
| This dataset was created for the [DSTA BrainHack TIL 2024](https://github.com/aliencaocao/TIL-2024) competition's VLM task. It includes various flying objects in backgrounds, and augmented with noise. Bounding box and short text description are provided. This is meant for open vocabulary object detection/classification tasks. |
|
|
| This dataset was created by [Ooi Xuan Shan](https://github.com/ooixs) from team 12000SGDPLUSHIE. Creation code can be found [here](https://github.com/aliencaocao/TIL-2024/blob/main/vlm/create_and_augment_new_data.ipynb). |
|
|
| This dataset includes 2338 images, 9214 bboxes, 69 unique flying objects with their captions. |
