| --- |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| language: |
| - en |
| tags: |
| - Drone |
| - Referring Expression Comprehension |
| - Visual Grounding |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes |
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| **Images** <br> |
| Please download the images from [VisDrone](https://github.com/VisDrone/VisDrone-Dataset). <br> |
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| **Annotations** <br> |
| Annotations is located in here. Annotation is [MDETR](https://arxiv.org/abs/2104.12763) style with keys: "images", "annotaions". <br> |
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| #### Images |
| Contains information about each image in the dataset: |
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| | Key | Description | Example | |
| |-----|-------------|-------------| |
| | `file_name` | Name of the image file | "0000189_00297_d_0000198.jpg" | |
| | `height` | Height of the image in pixels | 540 | |
| | `width` | Width of the image in pixels | 960 | |
| | `id` | Unique identifier for the image | 0 | |
| | `caption` | Text description of the image | "The black cars on the road" | |
| | `dataset_name` | Name of the dataset | "RefDrone" | |
| | `token_negative` | List of tokens not associated with target objects | [[0, 3], [4, 9]] | |
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| #### Annotations |
| Contains information about the annotations for each image: |
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| | Key | Description | Example | |
| |-----|-------------|-------------| |
| | `area` | Area of the annotated region | 1584 | |
| | `iscrowd` | if the annotation represents a crowd | 0| |
| | `image_id` | ID of the image this annotation belongs to | 0 | |
| | `category_id` | Category identifier for the annotated object | "5" | |
| | `id` | Unique identifier for the annotation | 0 | |
| | `empty` | if the annotation is empty | 0 | |
| | `bbox` | Bounding box coordinates [x, y, width, height] | [100, 200, 10, 20] | |
| | `tokens_positive` | List of tokens associated with the target object | [[2,4]] | |
