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README.md
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---
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license: mit
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---
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license: mit
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pretty_name: MatPredict
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task_categories:
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- image-to-image
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- image-segmentation
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tags:
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- synthetic-data
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- inverse-rendering
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- material-segmentation
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- material-properties
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- pbr
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- robotics
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- indoor-scenes
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---
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# MatPredict
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MatPredict is a synthetic dataset for material-centric scene understanding. It supports two main tasks:
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1. **Inverse rendering**: predict material properties such as albedo, roughness, and metallic maps from RGB images.
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2. **Material segmentation**: predict material regions or material classes from RGB images.
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The dataset contains rendered object variants with paired RGB images, material property maps, segmentation labels, camera transforms, and metadata.
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## Dataset Structure
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```text
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MatPredict/
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material_segmentation_map.yaml
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material_segmentation_train_config.yaml
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config/
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object_disjoint_v1.yaml
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variance_disjoint_v1.yaml
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<object_name>/
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<variant_name>/
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images/ # RGB input images
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albedo/ # base color targets
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ORM/ # packed material map; roughness=G, metallic=B
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label/ # material segmentation labels
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depth/
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normal_mat/
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normal_obj/
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transforms.json
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metadata.json
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material_segmentation_map.json
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```
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## Tasks
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### Inverse Rendering
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Input:
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```text
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images/*.png
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```
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Targets:
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```text
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albedo/*.png
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ORM/*.png
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```
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### Material Segmentation
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Input:
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```text
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images/*.png
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```
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Target:
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```text
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label/*.png
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```
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