Datasets:
Search is not available for this dataset
image imagewidth (px) 640 2.05k | label class label 210
classes |
|---|---|
051322222 | |
051322222 | |
051322222 | |
051322222 | |
051322222 | |
158222390 | |
158222390 | |
158222390 | |
158222390 | |
158222390 | |
158222390 | |
258416918 | |
258416918 | |
258416918 | |
258416918 | |
258416918 | |
358626842 | |
358626842 | |
358626842 | |
358626842 | |
358626842 | |
458694525 | |
458694525 | |
458694525 | |
458694525 | |
458694525 | |
558703814 | |
558703814 | |
558703814 | |
558703814 | |
558703814 | |
658710087 | |
658710087 | |
658710087 | |
658710087 | |
658710087 | |
758730176 | |
758730176 | |
758730176 | |
758730176 | |
758730176 | |
758730176 | |
858749825 | |
858749825 | |
858749825 | |
858749825 | |
858749825 | |
958779589 | |
958779589 | |
958779589 | |
958779589 | |
958779589 | |
1058786916 | |
1058786916 | |
1058786916 | |
1058786916 | |
1058786916 | |
1058786916 | |
1158802078 | |
1158802078 | |
1158802078 | |
1158802078 | |
1158802078 | |
1258803627 | |
1258803627 | |
1258803627 | |
1258803627 | |
1258803627 | |
1358803882 | |
1358803882 | |
1358803882 | |
1358803882 | |
1358803882 | |
1458814469 | |
1458814469 | |
1458814469 | |
1458814469 | |
1458814469 | |
1558831040 | |
1558831040 | |
1558831040 | |
1558831040 | |
1558831040 | |
1658840123 | |
1658840123 | |
1658840123 | |
1658840123 | |
1658840123 | |
1758850702 | |
1758850702 | |
1758850702 | |
1758850702 | |
1758850702 | |
1858851633 | |
1858851633 | |
1858851633 | |
1858851633 | |
1858851633 | |
1958854521 | |
1958854521 |
End of preview. Expand in Data Studio
Detection Dataset
Dataset for detection and visual inspection tasks. Contains items with structured inspection parameters, defect verification, and multi-angle high-resolution imagery.
π Structure
Each entry provides:
id: Unique item identifiertitle: Item category and descriptiongallery: URLs of high-resolution images from multiple anglesspecifications: Technical parameters and attributesreports_overview: Summary metrics and historyinspection: Detailed verification report (comprehensive checks, detected anomalies, and defect photos)
π Quick Start (Python)
from datasets import load_dataset
dataset = load_dataset("Alexander123q/detection-dataset")
print(dataset["train"][0])
Using Pandas:
import pandas as pd
df = pd.read_json("data.jsonl", lines=True)
print(df.head())
- Downloads last month
- 198