Update README.md
Browse files
README.md
CHANGED
|
@@ -1,12 +1,33 @@
|
|
| 1 |
---
|
| 2 |
license: cc-by-4.0
|
| 3 |
---
|
| 4 |
-
|
| 5 |
|
| 6 |
This folder contains a sample version of the TTA-Sim2Real dataset , introduced in our paper "TTA-Sim2Real: A Mixed Real–Synthetic Dataset and Pipeline for Tidal Turbine Assembly Object Detection".
|
| 7 |
The dataset is designed to support object detection in industrial assembly environments, combining real-world footage , controlled captures , and synthetic renderings . This version includes a representative subset for reproducibility and testing purposes.
|
|
|
|
| 8 |
|
| 9 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
|
| 11 |
📁 Folder Structure Overview
|
| 12 |
|
|
|
|
| 1 |
---
|
| 2 |
license: cc-by-4.0
|
| 3 |
---
|
| 4 |
+
##TTA-Sim2Real Dataset
|
| 5 |
|
| 6 |
This folder contains a sample version of the TTA-Sim2Real dataset , introduced in our paper "TTA-Sim2Real: A Mixed Real–Synthetic Dataset and Pipeline for Tidal Turbine Assembly Object Detection".
|
| 7 |
The dataset is designed to support object detection in industrial assembly environments, combining real-world footage , controlled captures , and synthetic renderings . This version includes a representative subset for reproducibility and testing purposes.
|
| 8 |
+
TTA-Sim2Real is a mixed-data object detection dataset designed for sim-to-real research in industrial assembly environments. It includes spontaneous real-world footage , controlled real data captured via cobot-mounted camera , and domain-randomized synthetic images generated using Unity, targeting seven classes related to tidal turbine components at various stages of assembly. The dataset supports reproducibility and benchmarking for vision-based digital twins in manufacturing.
|
| 9 |
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
✅ ##Dataset Card Abstract (Longer / More Detailed)
|
| 14 |
+
TTA-Sim2Real is a multi-source object detection dataset specifically designed for sim-to-real transfer in industrial assembly tasks. It contains over 21,000 annotated images across three data types:
|
| 15 |
+
|
| 16 |
+
-Spontaneous Real Data : Captured from live assembly and disassembly operations, including operator presence with face blurring for privacy.
|
| 17 |
+
-Controlled Real Data : Structured scenes recorded under uniform lighting and positioning using a cobot-mounted high-resolution camera.
|
| 18 |
+
-Synthetic Data : 6,000 of auto-labeled images generated using Unity 2022 with domain randomization techniques.
|
| 19 |
+
|
| 20 |
+
The dataset targets seven object classes representing key turbine components:
|
| 21 |
+
|
| 22 |
+
-Tidal-turbine
|
| 23 |
+
-Body-assembled
|
| 24 |
+
-Body-not-assembled
|
| 25 |
+
-Hub-assembled
|
| 26 |
+
-Hub-not-assembled
|
| 27 |
+
-Rear-cap-assembled
|
| 28 |
+
-Rear-cap-not-assembled
|
| 29 |
+
|
| 30 |
+
|
| 31 |
|
| 32 |
📁 Folder Structure Overview
|
| 33 |
|