Dataset
TakalaWang

TakalaWang/video-prediction

...

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Thành tựu nổi bật

Những danh hiệu mới nhất của dự án

8
TINIX TRENDING·Chủ đề: format:optimized-parquet

#8 Repository Của Ngày

10
TINIX TRENDING·Chủ đề: format:optimized-parquet

#10 Repository Của Tuần

2
TINIX TRENDING·Chủ đề: format:optimized-parquet

#2 Repository Của Ngày

📹 Dataset dự đoán video với cặp ảnh giai đoạn trước/sau

Dataset hình ảnh chia thành cặp (image, label) dùng cho nhiệm vụ dự đoán khung hình tiếp theo trong video.

Dataset video-prediction của TakalaWang cung cấp dữ liệu hình ảnh dạng cặp (image, label), trong đó image là khung hình đầu vào và label là khung hình gần nhất tiếp theo. Dữ liệu được tổ chức theo cấu trúc Parquet tối ưu, hỗ trợ các thư viện như Hugging Face Datasets, Dask, và Polars.

✨ Điểm nổi bật

  • Cặp ảnh (image, label): image là khung hình đầu vào, label là khung hình kế tiếp gần nhất.
  • Định dạng Parquet tối ưu: hỗ trợ tải về và xử lý hiệu quả qua Hugging Face Datasets.
  • Chia tách dữ liệu: Train (23.410 mẫu), Val (630 mẫu), Test (3.150 mẫu).
  • Metadata chi tiết: Bao gồm filename, clip_id (int8), và frame_idx (int16) để dò và sắp xếp khung hình.
  • Hỗ trợ đa thư viện: Tương thích với Dask, Polars, và mlcroissant.

💡 Vì sao đáng chú ý

Khác với các dataset hình ảnh thông thường, đây là dữ liệu dãy thời gian (time-series) dưới dạng cặp ảnh, rất phù hợp cho nhiệm vụ dự đoán khung hình kế tiếp trong video. Cấu trúc Parquet tối ưu giúp giảm kích thước tải về và tăng tốc độ truy cập dữ liệu khi hu trình mô hình.


#VideoPrediction #Dataset #HuggingFace #AI #MachineLearning #TiniX

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