SAE - 2026
Collection
Data and Models trained for the tasks of the EletroQuad SAE BRASIL Competition – AXIA Energia 2026 • 9 items • Updated
Datasets:
Search is not available for this dataset
image imagewidth (px) 248 1.28k | image_id int64 0 11.4k | width int32 248 1.28k | height int32 169 1.28k | objects dict |
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80 | 640 | 640 | {
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98 | 1,280 | 1,280 | {
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SAE 2026 Manometer Detection Dataset
Object detection dataset for analog manometer (pressure gauge) detection used by Black Bee Drones in the SAE 2026 competition.
Dataset Structure
| Split | Images |
|---|---|
| train | 11422 |
| validation | 2438 |
Total images: 13860
Classes: manometer-wvhf, manometer
Annotation format: COCO bbox [x_min, y_min, width, height].
Usage
Load with HuggingFace Datasets
from datasets import load_dataset
dataset = load_dataset("blackbeedrones/sae-2026-manometer")
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/sae-2026-manometer", format_type="coco")
# data/local now contains train/_annotations.coco.json and image files
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