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YAML Metadata Warning:The task_categories "3d-modeling" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Seens Earth Assets (seensio/seens-assets)

Public 3D asset warehouse for Seens (seens.io), an open-source platform recreating real-world urban environments.

Contribution Guidelines for 3D Artists & Architects

To ensure assets drop directly into the Unreal Engine 5 pipeline without scaling or orientation issues:

  • File Formats: .fbx, .gltf, or .glb.
  • Scale & Units: Metric (1 Unreal Unit = 1 cm). Real-world scale is strictly enforced.
  • Origin / Pivot Point: Ground level, centered at the bottom of the massing footprint (Z = 0).
  • Materials & Textures:
    • PBR workflow (Base Color / Albedo, Roughness, Normal, Metallic, Ambient Occlusion).
    • Maximum texture resolution: 2048x2048 (2K) .png or .tga.
  • Folder Structure for Submissions:
    • Organize assets by region and landmark: /models/[country]/[city]/[building_or_block_name]/

How to Submit

  1. Create a Pull Request or Community Discussion directly on this Hugging Face dataset.
  2. Include a preview image/render and your license consent (CC-BY-4.0).
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