Datasets:

blackbeedrones
/

imav-2023-ubungsdummys-dataset

image_id int64 0 115	width int32 168 4.61k	height int32 133 1.61k	objects dict
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IMAV 2023 Ubungsdummys Detection Dataset

Object detection dataset for IMAV 2023 'Ubungsdummys' (German: practice dummies / mannequins) recognition. Four classes covering different dummy poses: sitten_dummie, lay_down dummie, standing_dummie, and a generic dummie.

Dataset Structure

Split	Images
train	116
validation	32
test	16

Total images: 164

Classes: bungsdummys-bungspuppen, dummie, lay_down dummie, sitten_dummie, standing_dummie

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-2023-ubungsdummys-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-2023-ubungsdummys-dataset", format_type="coco")
# data/local now contains train/_annotations.coco.json and image files

Downloads last month: 98