rtarun1/mirage18k
[IROS 2026] Mirage 18k: Dataset for Glass Segmentation & Depth Estimation Mirage 18k is a novel, multi-task dataset comprising 18,353 manually annotated images across 38 unique indoor scenes, designed specifically for joint glass segmentation and glass-aware monocular depth estimation in robotics. It contains diverse real-world glass structures (indoor panes, frosted doors, windows, clear doors) with severe background clutter, saliency, and dynamic obstacles. Model Checkpoint:… See the full description on the dataset page: https://huggingface.co/datasets/rtarun1/mirage18k.
| Author / organization | rtarun1 |
|---|---|
| Downloads | 3K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 16 July 2026 |
| Last updated at source | 30 July 2026 |
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- rtarun1/silica-v1-0Model · used to train
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