CameraJev-4B / README.md
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metadata
license: cc-by-nc-sa-4.0
base_model: ZhuYuhan/VideoJev-4B
base_model_relation: adapter
pipeline_tag: video-classification
library_name: peft
language:
  - en
  - zh
tags:
  - camera-motion
  - video-understanding
  - video-classification
  - lora
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  研究用 checkpoint,僅供**非商業研究**(CC-BY-NC-SA-4.0),逐個人工審批。

  本倉庫**不含任何視頻或幀**。方法細節、評測結果與使用說明隨倉庫文件一併提供,審核通過後可見。


  Research checkpoints for **non-commercial research only** (CC-BY-NC-SA-4.0),
  approved

  manually. **No video or frames are included.** Method details, evaluation
  results and

  usage instructions ship with the repository files and are visible once
  approved.
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CameraJev-4B — compact camera-motion recognition

English · 简体中文 · 繁體中文

A compact camera-motion recogniser: it answers camera-movement questions — pan, tilt, truck, dolly, zoom, roll, arc, static and more — at a fraction of the size and cost of a large video-language model.

Built for throughput, so camera motion can be labelled across a whole corpus rather than sampled. Improves measurably on its base model on the standard public camera-motion benchmarks.

Quantitative results, the method, and runnable loading code are in the repository and become available once your access request is approved — this work is not yet published, so the public card is kept brief.

What you get

LoRA checkpoints over ZhuYuhan/VideoJev-4B, with their configurations. No video, frames or training data are included.

Access

Click Request access on this page and complete the form. Requests are reviewed individually.

Licence and credit

  • Licence: CC-BY-NC-SA-4.0 — non-commercial research only.
  • Base model: ZhuYuhan/VideoJev-4B (Apache-2.0), not redistributed here.

Citation

If you use this repository, please cite it. The upstream works credited above should be cited as well.

@misc{lin2026camerajev4b,
  author       = {Zeteng Lin and Jing Tang},
  title        = {CameraJev-4B: compact camera-motion recognition},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/Zeteng/CameraJev-4B}}
}