corrected
DeepPCB-corrected
DeepPCB-corrected
PCB defect detection — cleaned version of the DeepPCB dataset.
PCB 缺陷检测 —— DeepPCB 数据集的清理修正版。
English · 中文
English
What is this?
A cleaned and consistently packaged version of the DeepPCB dataset
(Tang, Mao, Wang, Zhu & Ye — "A Robust PCB Defect Detection Method via Fusing Multiple
Hierarchical Features", arXiv:1902.06197).
DeepPCB pairs each defect-free template image with an aligned tested image carrying
bounding-box… See the full description on the dataset page: https://huggingface.co/datasets/KeenForgeAI/DeepPCB-corrected.RoboRefit-corrected
RoboRefit-corrected
RoboRefit-corrected is a locally audited derivative of the 2,000-task RoboRefIt
TestB evaluation set. It is used by eval_roborefit_mask.py for point grounding
with mask-based ground truth. It is not a replacement for, or a modification of,
the upstream RoboRefIt release.
Relationship to the upstream data
The base task order, questions, bounding boxes, and images come from the
IffYuan/Roborefit Hugging Face test split.
images/hf_XXXX.png… See the full description on the dataset page: https://huggingface.co/datasets/VLyb/RoboRefit-corrected.NEU-DET-corrected
NEU-DET-corrected
Hot-rolled steel strip surface defect detection — cleaned version of the NEU Surface Defect Database.
热轧带钢表面缺陷检测 —— NEU 表面缺陷数据库的清理修正版。
English · 中文
English
What is this?
A cleaned, complete and consistently packaged version of the
NEU Surface Defect Database (NEU-DET) from Northeastern University
(Song Kechen & Yan Yunhui).
The upstream release ships as a flat IMAGES/ + ANNOTATIONS/ (Pascal VOC) pair with
no official split and a… See the full description on the dataset page: https://huggingface.co/datasets/KeenForgeAI/NEU-DET-corrected.swerebench-filtered-openhands-minimax-m2_5-corrected-completionsfr3_pickplace_extended_new_cmd_SYNC_part_correctedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "fr3",
"total_episodes": 301,
"total_frames": 276017,
"total_tasks": 2,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 60,
"splits": {
"train": "0:301"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/yio-ye2004/fr3_pickplace_extended_new_cmd_SYNC_part_corrected.paper2-channels-period1-corrected
