builddotai/Egocentric-10K-Evaluation
Egocentric10K Ego4D Epic-Kitchens To evaluate the three in-the-wild egocentric datasets Egocentric-10K, Ego4D, and EPIC-KITCHENS-100 on hand visibility and active manipulation density as a proxy for data efficiency, we randomly sample 10k frames from each dataset and run them through a gemini-2.5-flash. Hand Visibility Prompt: You are labeling an egocentric first-person image. Your task is to… See the full description on the dataset page: https://huggingface.co/datasets/builddotai/Egocentric-10K-Evaluation.
| Author / organization | builddotai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 332 (as reported by Hugging Face) |
| Likes | 18 |
| Created | 10 November 2025 |
| Last updated at source | 10 November 2025 |
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- 16 Oct 2026 Description: Egocentric10K Ego4D Epic-Kitchens To evaluate the three in-the-wild egocentric datasets Egocentric-10K, Ego4D, and EPIC-KITCHENS-100 on hand visibility and active manipulation density as a proxy for data efficiency, we randomly sample 10k f → Egocentric10K Ego4D Epic-Kitchens To evaluate the three in-the-wild egocentric datasets Egocentric-10K, Ego4D, and EPIC-KITCHENS-100 on hand visibility and active manipulation density as a proxy for data efficiency, we randomly sample 10k f
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