Datasetpublic

blackbeedrones/bb-challenge-boxes

Bb Challenge Boxes Object detection dataset hosted at blackbeedrones/bb-challenge-boxes. Dataset Structure Split Images train 1565 validation 149 test 75 Total images: 1789 Classes: box Annotation format: COCO bbox [x_min, y_min, width, height]. Usage Load with HuggingFace Datasets from datasets import load_dataset dataset = load_dataset("blackbeedrones/bb-challenge-boxes") example = dataset["train"][0]… See the full description on the dataset page: https://huggingface.co/datasets/blackbeedrones/bb-challenge-boxes.

sourceHugging Faceapache-2.0updated 21d agoView on Hugging Face

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Dataset Card

Bb Challenge Boxes

Object detection dataset hosted at blackbeedrones/bb-challenge-boxes.

Dataset Structure

Split	Images
train	1565
validation	149
test	75

Total images: 1789

Classes: box

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/bb-challenge-boxes")
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/bb-challenge-boxes", format_type="coco")
# data/local now contains train/_annotations.coco.json and image files