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blackbeedrones/imav-2024-zebras-dataset

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 =… See the full description on the dataset page: https://huggingface.co/datasets/blackbeedrones/imav-2024-zebras-dataset.

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face

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Dataset Card

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

python

from datasets import load_dataset

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