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README.md

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 # IndustryShapes
 
-[**Project Page**](https://pose-lab.github.io/IndustryShapes) | [**Paper**](https://huggingface.co/papers/2602.05555)
+[**Project Page**](https://pose-lab.github.io/IndustryShapes) | [**Paper**](https://arxiv.org/abs/2602.05555)
 
-IndustryShapes is a large-scale RGB-D benchmark dataset of industrial tools and components, designed for both instance-level and novel object 6D pose estimation. It bridges the gap between lab-based research and real-world industrial deployment by providing realistic scenes captured in industrial assembly settings.
+IndustryShapes is a new benchmark dataset tailored for 6D object pose estimation in industrial settings. Targeting the challenges of textureless objects, reflective surfaces, and complex assembly tools, this dataset provides high-quality RGB-D data with precise annotations to advance the state of the art in robotic manipulation.
 
 ### Dataset Features
-Unlike traditional datasets focused on household products, IndustryShapes introduces five new object types with challenging properties. The dataset features:
+Unlike traditional datasets focused on household products, IndustryShapes introduces five new industry-relevant object types with challenging properties. The dataset features:
 - **Realistic Settings:** Objects captured in authentic industrial assembly environments.
 - **Diverse Complexity:** Scenes ranging from simple to challenging, including single and multiple objects, as well as multiple instances of the same object.
 - **Unique Modalities:** It is the first dataset to offer RGB-D static onboarding sequences to support model-free and sequence-based approaches.
@@ -67,11 +67,11 @@ Unlike traditional datasets focused on household products, IndustryShapes introd
 
 ### Dataset Organization
 The dataset is organized into two parts:
-- **Classic Set:** Includes a total of 4.6k images and 6k annotated poses.
-- **Extended Set:** Introduces additional data modalities for advanced evaluation of model-free and sequence-based methods.
+- **Classic Set:** The Classic Set supports instance-level pose estimation with 21 scenes (13 train, 8 test). Includes images from real industrial scenes with varying complexity, Lab captured and Synthetically generated data.
+- **Extended Set:** Inlucdes three challenging office scenes with unconstrained lighting, distractors, occlusions and diverse viewpoints featuring all objects. It also includes 10 **RGB-D** static onboarding sequences (2 per object).
 
-### Supported Tasks
+### Tasks
 - **6D Object Pose Estimation** (Instance-level and Novel Object)
 - **Object Detection**
 - **Image Segmentation**
-- **Robotics**
+- **Robotic Manipulation**