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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
from datasets import load_dataset
dataset = load_dataset("blackbeedrones/skybee-fig-dataset")
example = dataset["train"][0]
print(example["objects"])
Use with Nectar SDK
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
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