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---
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. |