| ---
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| license: cc-by-nc-4.0
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| language:
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| - en
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| - zh
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| tags:
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| - video
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| - camera-motion
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| - video-understanding
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| pipeline_tag: video-classification
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| extra_gated_heading: 申請存取 · Request access
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| extra_gated_prompt: |-
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| 研究用模型權重，僅限**非商業研究**（CC-BY-NC-4.0），需人工審批。
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| 技術細節、使用說明與權重檔案於申請獲批後可見。
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|
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| Research weights for **non-commercial research only** (CC-BY-NC-4.0), approved
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| manually. Technical details, usage instructions and the weight files are visible once approved.
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| extra_gated_fields:
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| 姓名 Full name: text
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| 所屬機構 Affiliation: text
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| 用途說明 Intended use: text
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| 我僅將其用於非商業研究 Non-commercial research only: checkbox
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| extra_gated_button_content: 申請存取 Request access
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| ---
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|
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| # GeoMo-Lite: a compact camera-motion recogniser
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|
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| [中文（简体）](README.zh-CN.md) · [中文（香港）](README.zh-HK.md)
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| This repository holds two camera-motion recognisers, **GeoMo-Lite** and **GeoMo**. They recognise **camera motion** in video clips, for example pan, tilt, truck, pedestal, push/pull, zoom, roll, arc, tracking and static camera, including when and in which order movements happen within a shot.
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| ## Results
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| All numbers are accuracy (%), mean of 3 training seeds. Each test set was scored once.
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| | Benchmark | GeoMo-Lite | GeoMo | Best published model we compare with |
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| |---|---|---|---|
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| | ShotBench (camera movement, 464 Qs) | **87.8** | 87.0 | 59.7 (ShotVL-7B) |
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| | ACaM, real videos (1,385 Qs) | 73.1 | **74.5** | 72.8 (ACaM-SFT-8B) |
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| | ACaM, synthetic videos (1,179 Qs) | 89.5 | **89.6** | 78.2 (ACaM-SFT-8B) |
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| | CameraBench-Binary, 15 primitives (7,679 Qs) | **92.6** | 90.0 | 80.6 (Cam-Motion-72B) |
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| | CJ-Synth matched-twin test (936 Qs) | 87.9 | **92.5** | 65.3 (CamDistill-8B) |
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| Human accuracy on ACaM (from the ACaM paper) is 93.4 (real) / 98.1 (synthetic); both models are still below human level there.
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| ## Access
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| Weights, usage instructions and technical details are available **after your access request is approved**.
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|
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| ## License
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| CC BY-NC 4.0, non-commercial research use only. Some of the preprocessing tools used with this model carry their own non-commercial licences.
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|
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| ## Citation
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|
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| ```bibtex
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| @misc{lin2026geomolite,
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| title = {GeoMo-Lite: a compact camera-motion recogniser},
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| author = {Zeteng Lin and Jing Tang},
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| year = {2026},
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| note = {Hugging Face model repository}
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| }
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| ```
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|
