Datasets:
video video 5.02 9.85 |
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DM0015 · 4K Video Samples / 4K 视频素材样例
| Item / 项目 | Value / 值 |
|---|---|
| Dataset ID / 数据集编号 | DM0015 |
| Files / 数据文件 | 4 |
| Size / 数据体积 | 219.48 MB |
| Provided by / 提供方 | Zovda |
| Contact / 联系邮箱 | lucas@zovda.com |
Overview / 简介
High-fidelity, high-aesthetic 4K live-action clips, all 3840×2160 at 50–60 fps, for video-generation and content-understanding capability briefings.
高画质、高美学、高分辨率的 4K 实拍素材示例，全部 3840×2160、50–60fps，适用于视频生成与内容理解方向的能力说明。
What's inside / 数据内容
- 4 4K clips: Huanglong waterwheel, rainbow kite, Caesar salad and sunflower macro.
- 4 条 4K 素材：黄龙水车、彩虹风筝、凯撒沙拉、向日葵微距。
Specifications / 规格
- Resolution: 3840×2160 (4K), 16:9
- 分辨率：3840×2160（4K），16:9
- Frame rate: 50 / 59.94 / 60 fps, H.264
- 帧率：50 / 59.94 / 60 fps，H.264
- Duration: 5.0–10.0 s; no usable audio (2 clips carry an AAC track measuring −91 dB digital silence)
- 时长：5.0–10.0 秒；本批素材无有效声音（2 条含 AAC 轨但实测为 -91 dB 数字静音）
Suitable tasks / 适用任务
- High-resolution reference for text-to-video and image-to-video
- 文生视频 / 图生视频的高清参考
- Landscape, macro and commercial still-life understanding
- 自然风景、微距与商业静物内容理解
- Image-quality and aesthetics benchmarking
- 画质与美学评估基准
Files / 文件清单
| # | File | Size |
|---|---|---|
| 1 | stock-video-samples/a5747373982_黄龙水车.mp4 |
53.09 MB |
| 2 | stock-video-samples/a9729429233_彩虹风筝.mp4 |
87.74 MB |
| 3 | stock-video-samples/d18339262_向日葵微距.mp4 |
15.39 MB |
| 4 | stock-video-samples/d23187296_凯撒沙拉.mp4 |
63.26 MB |
Usage / 使用方式
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="Zovda/dm0015-4k-video-samples",
repo_type="dataset",
local_dir="./dm0015-4k-video-samples",
)
Rights and disclaimer / 授权与声明
Supplied by Zovda; samples demonstrate resolution specification and visual categories. Contact us for commercial licensing.
素材由 Zovda 供应，样例用于展示分辨率规格与画面类型。商用授权请联系我们。
This dataset is shared to demonstrate data organisation, technical specifications and delivery structure. For formal licensing, large-scale access or custom production, contact lucas@zovda.com.
本数据集仅用于展示数据组织方式、技术规格与交付结构。正式授权、规模化取数与定制生产请联系 lucas@zovda.com。
About Zovda / 关于 Zovda
Zovda builds, cleans, annotates and packages training data across video, audio, images, e-commerce image-text pairs, exam question banks, embodied AI and coding-agent corpora.
Zovda 提供多模态与文本训练语料的数据采集、清洗、标注与结构化交付服务，覆盖视频、音频、图像、电商图文、K12 与职业题库、具身智能、代码智能体等方向。
Contact / 联系方式: lucas@zovda.com
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