a27259954/4DataTool

LottoScan License Plates

License plate dataset with 4-point oriented bounding boxes and plate text labels. All images are 640x640 JPEG.

Total samples: 2 Splits: 24 (D-01..D-12 for daytime, N-01..N-12 for nighttime)

Categories (4 dims × cartesian)

Split names use underscore (D_NN, N_NN) because HuggingFace forbids dashes in split names.

• Time: D=day / N=night
• Distance: near / mid / far (encoded in id index 1-4 / 5-8 / 9-12)
• Plate count: 1-2 (odd within block) / 3+ (even within block)
• Angle: front <30° (odd) / oblique >30° (even)

Per-split row counts:

Split	Rows
D_01	1
D_02	0
D_03	0
D_04	0
D_05	1
D_06	0
D_07	0
D_08	0
D_09	0
D_10	0
D_11	0
D_12	0
N_01	0
N_02	0
N_03	0
N_04	0
N_05	0
N_06	0
N_07	0
N_08	0
N_09	0
N_10	0
N_11	0
N_12	0

Schema (per row)

Field	Type	Description
image	Image	640x640 JPEG
quadrilaterals	float[N][4][2]	Normalized 4-point quads, order: 左上→右上→右下→左下
plate_texts	string[N]	Plate text strings, parallel to quadrilaterals

Usage

from datasets import load_dataset
ds_d05 = load_dataset("a27259954/4DataTool", split="D_05")  # 中距離 / 1-2 個 / 直視
sample = ds_d05[0]
sample["image"]            # PIL.Image
sample["quadrilaterals"]   # [[[x,y],...]]
sample["plate_texts"]      # ["ABC-1234", ...]