Robotics
PyTorch
Cosmos
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
qwen3-omni
Instructions to use cy0307/ropedia-xperience-10m-task-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use cy0307/ropedia-xperience-10m-task-baselines with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 515 Bytes
540e67a a8124a8 540e67a a8124a8 540e67a eeac43c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"mrr": 0.016023479050338015,
"median_rank": 172.0,
"mean_rank": 174.67816091954023,
"num_queries": 348,
"top1_accuracy": 0.0028735632183908046,
"top5_accuracy": 0.011494252873563218,
"top10_accuracy": 0.014367816091954023,
"task": "caption_grounding",
"input": "caption objects/interaction text query + candidate sensor windows",
"output": "matching time window",
"split": "chronological",
"num_train_windows": 813,
"num_test_windows": 348,
"task_display_name": "Language Grounding"
}
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