Task 119 — Rolling Shutter Correction

Fastec-RS + Carla-RS · verified raw-data report · Nancy · 2026-07-20
RAW VERIFIEDS3 RECONCILEDPREVIEW VERIFIED

Task contract. Convert a rolling-shutter sequence with row-wise geometric distortion into the time-aligned global-shutter sequence while preserving content, framing, appearance, and motion.

4official archives
15,595,587,207S3 bytes
6S3 objects
4/4ZIP checks passed

Input → target previews

Stage 1 status. These three pairs are preliminary pipeline evidence. They are not commit-bound Gate B evidence and do not represent reviewer approval.

1. Fastec-RS test — real capture

test/190206_Tuebingen_000100 · 34 frames · 640×480 · 10 FPS · 3.4 s

INPUT: ordered *_rolling.png
TARGET: matched *_global_middle.png

2. Fastec-RS train — real capture

train/190206_Tuebingen_000118 · 34 frames · 640×480 · 10 FPS · 3.4 s

INPUT: ordered *_rolling.png
TARGET: matched *_global_middle.png

3. Carla-RS train — synthetic fast camera rotation

train/Carla_town03/seq_55 · 10 frames · 640×448 · 10 FPS · 1.0 s · selected for visible row-wise geometry change

INPUT: ordered *_rs.png
TARGET: matched *_gs_m.png

Identity and provenance

DatasetFastec-RS and Carla-RS
AuthorsPeidong Liu, Zhaopeng Cui, Viktor Larsson, Marc Pollefeys
PaperDeep Shutter Unrolling Network, CVPR 2020
Official sourceDeepUnrollNet repository, four author-published Google Drive links
AcquisitionFresh download by Nancy on 2026-07-20; raw archives retained unchanged
S3 raw prefixs3://tv2v-data/raw/taxonomy/Task_119_rolling_shutter_correction_data-pipeline/
LicenseDataset archive license not explicitly located; redistribution and commercial use remain unclear. The repository code license must not be assumed to cover data.

Measured archive inventory

ArchiveBytesContents measured with zipinfoSHA-256
carla_rs_test.zip1,993,142,5924,044 files; 2,000 PNG4e9a9069…1117dad2
carla_rs_train.zip9,997,166,63221,328 files; 10,550 PNG3d08184a…fdcc4a11
fastec_rs_test.zip974,958,6711,981 files; 1,960 PNG; 21 meta logs93bdd04b…767a626f
fastec_rs_train.zip2,630,318,8395,768 files; 5,712 PNG; 56 meta logs833ba4c9…7f68ce10

The S3 prefix also contains SHA256SUMS.txt and STATUS.json. All six S3 object sizes match the verified local sources exactly.

Raw location, acquisition, and contamination

Official download setFour Google Drive archives published by the DeepUnrollNet authors: Fastec train/test and Carla train/test
Internal raw locations3://tv2v-data/raw/taxonomy/Task_119_rolling_shutter_correction_data-pipeline/
Fresh download?Yes, directly from all four official repository links on 2026-07-20
Known modificationsNone to ZIP contents. SHA256SUMS.txt and STATUS.json are added provenance records.
Registration / DUANo registration observed; no separate data-use agreement found
Re-downloadOfficial links were available at audit time

Scale, splits, formats, and annotation semantics

Source/itemMeasured scale / formatMeaning
Fastec train56 meta-log scenes; 5,712 PNG; RGB uint8 640×480Rolling/global-middle/global-first triplets
Fastec test21 scenes; 1,960 PNG; RGB uint8 640×480Paired evaluation scenes; 653 rolling/global-middle pairs measured
Carla train/val21,328 files; 10,550 PNG; sampled masks 640×448 uint8Synthetic RS/GS plus flow, depth, masks, calibration, and poses
Carla test4,044 files; 2,000 PNGSynthetic held-out scenes with auxiliary supervision
*_rolling.pngRGB uint8Task input with row-wise readout distortion
*_global_middle.pngRGB uint8, same indexPrimary time-aligned target
*_global_first.pngRGB uint8Alternative timing target retained in raw
meta.logText capture/timing parametersSupports exported-FPS derivation

Native structure and conversion

scene/
├── NNN_rolling.png        → input_video.mp4
├── NNN_global_middle.png  → target_video.mp4
├── NNN_global_first.png   → retained in raw
└── meta.log               → timing metadata (Fastec)

The official model consumes consecutive rolling-shutter images and predicts the corresponding global-shutter image. For V2V, frames are numerically ordered within one scene and paired by the same index. Fastec metadata gives 2400 FPS source capture and a 240-frame sampling interval, yielding 10 FPS for the inspected exported sequence.

Pipeline → final four-file contract

verified ZIP → extract one split/scene → match rolling/global_middle indices
→ reject incomplete/short scenes → derive and record FPS
→ equal H.264/yuv420p input/target → prompt.txt + metadata.json → contract validation
→ final/taxonomy/Task_119_rolling_shutter_correction/Task_119_rolling_shutter_correction_NNNNNNNNN/

Quality gates and limitations

Completeness and source verification

CheckResult
Official paper/repository/four source linksVerified
ZIP integrity4/4 passed
SHA-2564/4 recorded
S3 reconciliation6 objects; 15,595,587,207 bytes; local sizes match
Native semantics/formatsVerified by archive reads
Real paired previewVerified, 34 frames
Dataset licenseUnclear; release blocker
Production final samplesNot generated