Datasets:

blackbeedrones
/

imav-2024-zebras-dataset

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IMAV 2024 Zebras Detection Dataset

Object detection dataset for IMAV 2024 zebra-pattern target detection. Single class: 'Zebras'.

Dataset Structure

Split	Images
train	176
validation	59
test	58

Total images: 293

Classes: zebras

Annotation format: COCO bbox [x_min, y_min, width, height].

Usage

Load with HuggingFace Datasets

from datasets import load_dataset

dataset = load_dataset("blackbeedrones/imav-2024-zebras-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/imav-2024-zebras-dataset", format_type="coco")
# data/local now contains train/_annotations.coco.json and image files

Downloads last month: 27