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--- |
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license: apache-2.0 |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- zero-shot-object-detection |
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- zero-shot-image-classification |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 1486623411.242 |
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num_examples: 2338 |
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download_size: 1482027997 |
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dataset_size: 1486623411.242 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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tags: |
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- flying |
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- objects |
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- drones |
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- planes |
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--- |
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# Described Flying Objects |
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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. |
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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). |
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This dataset includes 2338 images, 9214 bboxes, 69 unique flying objects with their captions. |
