Correct single-image VQA total
Browse files
README.md
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@@ -97,7 +97,7 @@ RPX is a real-world RGB-D benchmark for measuring robot perception across scene
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| 97 |
| Multi-object scenes (MOS) | 100 scenes × 3 phases × 250 frames = 75,000 frames | RGB, depth, fisheye stereo, 6-DoF camera pose, instance masks and annotation metadata |
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| 98 |
| Egocentric views (Ego) | 100 scenes, 23,121 indexed frames | RGB, instance masks and tracking metadata |
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| 99 |
| Single-object scans (SOS) | 70 selected objects × 500 frames = 35,000 frames | RGB, depth, fisheye stereo, camera pose, masks and annotation metadata |
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| 100 |
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| VQA ground truth |
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| 101 |
| In-context VQA | 749,083 two-image questions | MOS/Ego attribute transfer and MOS spatial reasoning |
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| 102 |
| Runnable VQA subset | 31,500 questions, plus a 104-row acceptance set | deterministic bbox-output evaluation manifests |
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| 103 |
| Tracking text vocabulary | 70 objects and 2,739 scene-condition entries | stable IDs, canonical names and fixed text prompts |
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| 97 |
| Multi-object scenes (MOS) | 100 scenes × 3 phases × 250 frames = 75,000 frames | RGB, depth, fisheye stereo, 6-DoF camera pose, instance masks and annotation metadata |
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| 98 |
| Egocentric views (Ego) | 100 scenes, 23,121 indexed frames | RGB, instance masks and tracking metadata |
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| 99 |
| Single-object scans (SOS) | 70 selected objects × 500 frames = 35,000 frames | RGB, depth, fisheye stereo, camera pose, masks and annotation metadata |
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| 100 |
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| VQA ground truth | 4,529,322 single-image questions | attribute, spatial-bbox and spatial-binary tasks |
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| 101 |
| In-context VQA | 749,083 two-image questions | MOS/Ego attribute transfer and MOS spatial reasoning |
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| 102 |
| Runnable VQA subset | 31,500 questions, plus a 104-row acceptance set | deterministic bbox-output evaluation manifests |
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| 103 |
| Tracking text vocabulary | 70 objects and 2,739 scene-condition entries | stable IDs, canonical names and fixed text prompts |
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