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README.md

@@ -6,7 +6,6 @@ task_categories:
 tags:
 - 6d-pose-estimation
 - transparency
-- megapose
 - bop
 - synthetic
 pretty_name: Transparent Object Pose Estimation
@@ -16,7 +15,7 @@ size_categories:
 
 # Object Pose Estimation Using Implicit Representation for Transparent Objects
 
-This dataset aggregates high-quality 3D mesh assets and rendered data for training and fine-tuning pose-estimation models. It unifies four significant datasets—**ClearPose**, **DIMO**, **HouseCat6D**, and **TRansPose**—all formatted for **BOP (Benchmark for 6D Object Pose Estimation)** evaluation.
+This dataset aggregates high quality 3D mesh assets and rendered data for training and fine-tuning pose estimation models. It unifies four significant datasets: **ClearPose**, **DIMO**, **HouseCat6D**, and **TRansPose**, all formatted for **BOP (Benchmark for 6D Object Pose Estimation)** evaluation.
 
 ## Visualization
 Below is a collage showing sample RGB inputs from the constituent datasets:
@@ -34,11 +33,11 @@ ClearPose consists of **63 transparent or opaque household objects** captured in
 
 ### 2. DIMO (Dataset of Industrial Metal Objects)
 **Source**: [DIMO Project](https://pderoovere.github.io/dimo/)
-DIMO consists of **six reflective metallic parts** (colored, shiny, and matte finish) on a metallic surface. These objects exhibit a shiny appearance, designed to challenge rendering and pose estimation methods that must model view-dependent effects.
+DIMO consists of **six reflective metallic parts** (colored, shiny, and matte finish) on a metallic surface. These objects exhibit a shiny appearance, designed to challenge rendering and pose estimation methods that must model view dependent effects.
 
 ### 3. HouseCat6D
 **Source**: [HouseCat6D Project](https://sites.google.com/view/housecat6d)
-A large-scale multi-modal dataset consisting of **textured, shiny, metallic, and matte objects** of different categories in realistic scenarios. It serves as a comprehensive benchmark for diverse household objects.
+A large scale multi modal dataset consisting of **textured, shiny, metallic, and matte objects** of different categories in realistic scenarios. It serves as a comprehensive benchmark for diverse household objects.
 
 ### 4. TRansPose
 **Source**: [TRansPose Project](https://sites.google.com/view/transpose-dataset)
@@ -70,7 +69,7 @@ Each sub-dataset follows the BOP directory structure:
 ```text
 dataset/
 ├── ClearPose/
-│   ├── models/                 # Object models (.ply, models_info.json)
+│   ├── models/                 # Object models (.ply, .obj, models_info.json)
 │   ├── nerfs/                  # NeRF data (Instant NGP format)
 │   ├── test/                   # Test scenes
 │   │   ├── 001001/             # Scene ID