| | --- |
| | license: cc-by-nc-sa-4.0 |
| | task_categories: |
| | - video-inpainting |
| | - watermark-removal |
| | - object-removal |
| | language: |
| | - en |
| | tags: |
| | - capcut |
| | - ugc-video |
| | - benchmark |
| | - deep-learning |
| | pipeline_tag: video-to-video |
| | --- |
| | |
| | # CapCut Video Watermark Benchmark Dataset |
| |
|
| | ## Dataset Description |
| |
|
| | This repository contains a specialized **benchmark dataset** for evaluating the performance of video inpainting and watermark removal models, specifically focusing on content generated by **CapCut (ๅชๆ )**, a popular mobile video editing platform. |
| |
|
| | CapCut videos often feature distinct watermark patterns, including: |
| |
|
| | * **Static Corner Logos:** Opaque or semi-transparent logos (e.g., "CapCut") in a fixed corner. |
| | * **Dynamic End Screens:** A full-screen animation with the CapCut logo at the very end of the video. |
| | * **Overlay Watermarks:** Sometimes a username or ID is overlaid on the video content. |
| |
|
| | ### Dataset Purpose |
| | * **Benchmarking:** Provide a standardized evaluation set for comparing different video inpainting algorithms on CapCut-specific artifacts. |
| | * **Research:** Analyze the unique challenges posed by CapCut's watermarking techniques. |
| | * **Training Data:** Serve as a fine-tuning dataset for models aiming to handle UGC video content. |
| |
|
| | ### Data Structure & Access |
| |
|
| | The dataset includes: |
| | * **Original (Watermarked):** Short video clips (5-15 seconds) with CapCut watermarks. |
| | * **Ground Truth (Clean):** Corresponding clean, watermark-free versions of the videos. |
| | * **Masks:** Binary segmentation masks indicating the location of the watermark in each frame. |
| |
|
| | **To access the dataset for research purposes, please request access through the Hugging Face platform.** |
| |
|
| | ## ๐ Benchmark Results & Optimized Tool |
| |
|
| | We have extensively tested our own **advanced video inpainting models** on this dataset. The model achieving the highest performance in terms of both PSNR/SSIM metrics and perceptual quality for CapCut content is our specialized, online tool. |
| |
|
| | For users seeking the **most effective, one-click solution for removing CapCut watermarks** based on these benchmark results: |
| |
|
| | ๐ **[Try the CapCut Watermark Remover (Optimized)](https://www.videowatermarkremove.com/remove-capcut-watermark)** |
| |
|
| | (Our online platform integrates specific loss functions for CapCut logos and end screens, running on high-performance GPUs.) |
| |
|
| | --- |
| | *Disclaimer: This dataset is provided for academic research and benchmarking purposes only. Please respect copyright laws when using the data.* |
