| --- |
| license: apache-2.0 |
| task_categories: |
| - object-detection |
| tags: |
| - object-detection |
| - drone |
| - uav |
| - object-detection |
| - shape-recognition |
| - geometric-shapes |
| - nectar-sdk |
| size_categories: |
| - 1K<n<10K |
| pretty_name: SkyBee-Fig Geometric Shapes Detection Dataset |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: image_id |
| dtype: int64 |
| - name: width |
| dtype: int32 |
| - name: height |
| dtype: int32 |
| - name: objects |
| struct: |
| - name: id |
| sequence: int64 |
| - name: bbox |
| sequence: |
| sequence: float32 |
| length: 4 |
| - name: category |
| sequence: |
| class_label: |
| names: |
| '0': skybee-fig |
| '1': circle |
| '2': cross |
| '3': hexagon |
| '4': house |
| '5': pentagon |
| '6': square |
| '7': star |
| '8': triangle |
| - name: area |
| sequence: float64 |
| --- |
| |
| # SkyBee-Fig Geometric Shapes Detection Dataset |
|
|
| Object detection dataset for geometric figure recognition. Eight shape classes: Circle, Cross, Hexagon, House, Pentagon, Square, Star, Triangle. |
|
|
| ## Dataset Structure |
|
|
| | Split | Images | |
| |-------|--------| |
| | train | 1000 | |
|
|
| **Total images:** 1000 |
|
|
| **Classes:** `skybee-fig`, `circle`, `cross`, `hexagon`, `house`, `pentagon`, `square`, `star`, `triangle` |
|
|
| **Annotation format:** COCO bbox `[x_min, y_min, width, height]`. |
|
|
| ## Usage |
|
|
| ### Load with HuggingFace Datasets |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("blackbeedrones/skybee-fig-dataset") |
| example = dataset["train"][0] |
| print(example["objects"]) |
| ``` |
|
|
| ### Use with Nectar SDK |
|
|
| ```python |
| from nectar.ai.detection.datasets import HuggingFaceHandler |
| |
| handler = HuggingFaceHandler("data/local") |
| handler.download(repo_id="blackbeedrones/skybee-fig-dataset", format_type="coco") |
| # data/local now contains train/_annotations.coco.json and image files |
| ``` |
|
|
