Datasets:

jwgcurrie
/

SynthVPT

Tasks:

Image Feature Extraction

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Dataset card Data Studio Files Files and versions

jwgcurrie commited on Sep 28

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2ab1545

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@@ -68,9 +68,9 @@ This dataset was generated using NVIDIA Isaac Sim and Omniverse Replicator. Each
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-## ## Dataset Details
-### ### Dataset Summary
 Visual Perspective Taking is a challenging task that traditionally requires large amounts of precisely labelled real-world data. This dataset serves as a proof-of-concept to explore the viability of using high-fidelity synthetic data as a scalable and cost-effective alternative.
@@ -82,7 +82,7 @@ The data consists of renders of an objects (**mug**) placed on a tabletop in a s
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-## ## Data Fields
 The dataset has the following fields:
@@ -94,7 +94,7 @@ The dataset has the following fields:
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-## ## Data Splits
 The data is split into training, validation, and test sets. The splits were created based on unique images to ensure no data leakage between the sets.
@@ -106,7 +106,7 @@ The data is split into training, validation, and test sets. The splits were crea
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-## ## How to Use
 You can load and use the dataset with the `datasets` library as follows:

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+## Dataset Details
+### Dataset Summary
 Visual Perspective Taking is a challenging task that traditionally requires large amounts of precisely labelled real-world data. This dataset serves as a proof-of-concept to explore the viability of using high-fidelity synthetic data as a scalable and cost-effective alternative.
 ---
+## Data Fields
 The dataset has the following fields:
 ---
+## Data Splits
 The data is split into training, validation, and test sets. The splits were created based on unique images to ensure no data leakage between the sets.
 ---
+## How to Use
 You can load and use the dataset with the `datasets` library as follows: