steel
Datasets
All datasets matching “steel”severstal_steel_defects
Dataset Card for severstal_steel_defects
This is a FiftyOne dataset with 18074 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/severstal_steel_defects")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/severstal_steel_defects.SteelDefectXsteel-ocr-dataset-960
Steel OCR Dataset (Resized 960px)
鉄骨の手書き製品コード認識のための学習データセット（リサイズ版）。
学習高速化のため、画像を長辺960pxにリサイズしたバージョン。
バウンディングボックス座標も同じスケールで変換済み。
オリジナル版との違い
項目
オリジナル
リサイズ版
総ピクセル数
5077.8 MP
215.1 MP
削減率
-
95.8%
用途
評価、高精度学習
高速学習
データセット構成
train / val はリーク無しで分割済み（画像レベルで互いに素、sha256 + dHash 監査で 0 leak）。
固定 14 枚 test セットとも画像・クロップが重複しない。
train_data/
├── det/ # 検出モデル用
│ ├── train.txt # 学習データラベル (222画像)
│ ├── val.txt… See the full description on the dataset page: https://huggingface.co/datasets/iput-tk230215/steel-ocr-dataset-960.SteelDefectXsteelball_detect
A yolo format dataset for steelball_detection nearly two thousand images
the steel balls is about one centimeter in three diferent environments.
notes: some labels are json format and becuase some images are taken by different dvices ,its resolution are different
steelball
钢球 / Steel Ball Dataset
A real-image dataset for instance segmentation and 2D apparent-silhouette center
estimation of polished steel balls.
The dataset targets the following tasks:
detecting and counting steel balls in an image;
separating touching or mutually occluding ball instances;
predicting the visible-region mask of each instance;
estimating the center of each ball's complete 2D apparent silhouette;
analysing performance across occlusion levels using visible_fraction.… See the full description on the dataset page: https://huggingface.co/datasets/xinyuanzaizhe/steelball.