Datasets:
Tasks:
Object Detection
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Search is not available for this dataset
image imagewidth (px) 1.6k 1.6k | objects dict |
|---|---|
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{
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{
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"categories": [
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} |
End of preview. Expand in Data Studio
nuImages Cam Front
Front-camera keyframes from nuImages, 1600×900, with object boxes in COCO format.
train has 13,187 images and validation has 3,249, with annotations from 23 classes.
from datasets import load_dataset
ds = load_dataset("mviola/nuImages-cam-front", split="train") # or "validation"
sample = ds[0]
image = sample["image"]
boxes = sample["objects"]["bbox"]
categories = sample["objects"]["categories"]
names = ds.features["objects"]["categories"].feature.int2str(categories)
| id | name |
|---|---|
| 0 | animal |
| 1 | human.pedestrian.adult |
| 2 | human.pedestrian.child |
| 3 | human.pedestrian.construction_worker |
| 4 | human.pedestrian.personal_mobility |
| 5 | human.pedestrian.police_officer |
| 6 | human.pedestrian.stroller |
| 7 | human.pedestrian.wheelchair |
| 8 | movable_object.barrier |
| 9 | movable_object.debris |
| 10 | movable_object.pushable_pullable |
| 11 | movable_object.trafficcone |
| 12 | static_object.bicycle_rack |
| 13 | vehicle.bicycle |
| 14 | vehicle.bus.bendy |
| 15 | vehicle.bus.rigid |
| 16 | vehicle.car |
| 17 | vehicle.construction |
| 18 | vehicle.emergency.ambulance |
| 19 | vehicle.emergency.police |
| 20 | vehicle.motorcycle |
| 21 | vehicle.trailer |
| 22 | vehicle.truck |
Use is subject to CC BY-NC-SA 4.0 and the Motional terms in LICENSE.
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