devmandan/boofcv-qr-images-v2

BoofCV QR Images V2

A mirror of Peter Abeles' QR Code Performance Benchmark image set from BoofCV, repackaged as a HuggingFace dataset with the corner annotations parsed into structured fields.

487 images: 461 detection images across 14 difficulty categories with 1,153 hand-annotated QR corner quads, plus 26 decoding images with expected payload strings.

Categories

category	images		category	images
nominal	65		rotations	44
glare	50		blurred	42
curved	49		damaged	34
close	40		bright_spots	32
brightness	28		pathological	23
monitor	17		noncompliant	16
shadows	14		lots	7

Fields

field	notes
image	the picture
subset	detection (461) or decoding (26)
category	one of the 14 above, or decoding
corners	list of 4-point polygons, one per QR — every detection image has these
n_qr_codes	QR instances in the image (1,153 total across the detection set)
expected_message	the decoded string, for all 26 decoding images
source_path	original path inside the BoofCV archive

One parsing note that matters

The upstream .txt files use two different formats: some have a SETS header with one line per QR (8 floats = 4 corners), and some have no header and one line per point, four consecutive lines to a QR. Reading only the first format yields corners for 175 of 461 images and silently looks like "the rest are unannotated". Both formats are parsed here, and the point-style files were checked to contain a whole number of quads.

Corners are in each photo's stored pixel grid. 24 photos are stored sideways with an EXIF orientation tag; apply the orientation to the corners if you load the image upright.

Usage

from datasets import load_dataset

ds = load_dataset("devmandan/boofcv-qr-images-v2", split="test")
hard = ds.filter(lambda r: r["category"] in {"damaged", "curved", "glare"})
multi = ds.filter(lambda r: r["n_qr_codes"] > 1)

Location data removed

The photos' GPS location (in their EXIF, and the XMP copy of the EXIF that some carry) has been removed from 390 files. Pixels, orientation and every other metadata field are unchanged.

Provenance and licensing — read before redistributing

Original source: https://boofcv.org/notwiki/regression/fiducial/qrcodes_v2.zip Author: Peter Abeles (BoofCV).

BoofCV does not state an explicit licence for this image set. The project publishes it openly as a benchmark and describes its images and evaluation code as freely available, which is why it is mirrored here — but "freely available" is not a licence grant, and no licence is or can be granted by this mirror. If you need defined redistribution terms, get them from the BoofCV project.

The images and annotations are Peter Abeles' work, not the mirror publisher's; the annotations are parsed here into structured fields, and no licence is granted over either.

If you are the rights holder and want this mirror removed, open a discussion here and it will be taken down.

Citation

@misc{boofcv_qr_v2,
  title        = {BoofCV QR Code Performance Benchmark, Images V2},
  author       = {Abeles, Peter},
  howpublished = {\url{https://boofcv.org/}},
  note         = {QR detection and decoding benchmark image set}
}