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MoVi

Large Multipurpose Motion and Video Dataset

ImagesFor non-commercial and scientific research purposes

Contains 60 female and 30 male actors performing a collection of 20 predefined everyday actions and sports movements, and one self-chosen movement.

Source: MoVi: A Large Multipurpose Motion and Video Dataset

Benchmarks

1 Image, 2*2 Stitchi/PVE-T-SC 3D/PVE-T-SC 3D Absolute Human Pose Estimation/PVE-T-SC 3D Human Pose Estimation/PVE-T-SC Pose Estimation/PVE-T-SC

Related Benchmarks

MovieLens/Click-Through Rate Prediction/AUC MovieLens/Recommendation Systems/HR@10 MovieLens/Recommendation Systems/Recall@10 MovieLens/Recommendation Systems/nDCG@10 MovieLens 100K/Recommendation Systems/RMSE MovieLens 100K/Recommendation Systems/RMSE (Random 90/10 Splits)MovieLens 100K/Recommendation Systems/RMSE (u1 Splits)MovieLens 10M/Recommendation Systems/HR@10 MovieLens 10M/Recommendation Systems/HR@100 MovieLens 10M/Recommendation Systems/MAP@15 MovieLens 10M/Recommendation Systems/MAP@30 MovieLens 10M/Recommendation Systems/MAP@5 MovieLens 10M/Recommendation Systems/NDCG MovieLens 10M/Recommendation Systems/NDCG@15 MovieLens 10M/Recommendation Systems/NDCG@30 MovieLens 10M/Recommendation Systems/NDCG@5 MovieLens 10M/Recommendation Systems/PSP@10 MovieLens 10M/Recommendation Systems/Precision MovieLens 10M/Recommendation Systems/RMSE MovieLens 10M/Recommendation Systems/Recall MovieLens 10M/Recommendation Systems/nDCG@10 MovieLens 10M/Recommendation Systems/nDCG@100 MovieLens 1M/Click-Through Rate Prediction/AUC MovieLens 1M/Click-Through Rate Prediction/Accuracy MovieLens 1M/Click-Through Rate Prediction/Log Loss MovieLens 1M/Collaborative Filtering/NDCG@20 MovieLens 1M/Collaborative Filtering/Recall@20 MovieLens 1M/General Knowledge/NDCG MovieLens 1M/General Knowledge/RMSE MovieLens 1M/Inductive knowledge graph completion/Hits@10 MovieLens 1M/Inductive knowledge graph completion/Mean Rank MovieLens 1M/Knowledge Graph Completion/Hits@10 MovieLens 1M/Knowledge Graph Completion/Mean Rank MovieLens 1M/Knowledge Graphs/Hits@10 MovieLens 1M/Knowledge Graphs/Mean Rank MovieLens 1M/Large Language Model/Hits@10 MovieLens 1M/Large Language Model/Mean Rank MovieLens 1M/Link Prediction/AUC MovieLens 1M/Link Prediction/AUPR MovieLens 1M/Recommendation Systems/HR@10 MovieLens 1M/Recommendation Systems/HR@10 (99 Neg. Samples)MovieLens 1M/Recommendation Systems/HR@10 (full corpus)MovieLens 1M/Recommendation Systems/HR@100 MovieLens 1M/Recommendation Systems/HR@20 MovieLens 1M/Recommendation Systems/HR@5 MovieLens 1M/Recommendation Systems/HR@5 (99 Neg. Samples)MovieLens 1M/Recommendation Systems/HR@50 MovieLens 1M/Recommendation Systems/MRR (99 Neg. Samples)MovieLens 1M/Recommendation Systems/MRR@10 MovieLens 1M/Recommendation Systems/MRR@20 MovieLens 1M/Recommendation Systems/MRR@50 MovieLens 1M/Recommendation Systems/NDCG MovieLens 1M/Recommendation Systems/NDCG@10 MovieLens 1M/Recommendation Systems/NDCG@10 (99 Neg. Samples)MovieLens 1M/Recommendation Systems/NDCG@10 (full corpus)MovieLens 1M/Recommendation Systems/NDCG@20 MovieLens 1M/Recommendation Systems/NDCG@5 MovieLens 1M/Recommendation Systems/NDCG@5 (99 Neg. Samples)MovieLens 1M/Recommendation Systems/NDCG@50 MovieLens 1M/Recommendation Systems/PSP@10 MovieLens 1M/Recommendation Systems/Precision MovieLens 1M/Recommendation Systems/RMSE MovieLens 1M/Recommendation Systems/nDCG@10 MovieLens 1M/Recommendation Systems/nDCG@100 MovieLens 20M/Click-Through Rate Prediction/AUC MovieLens 20M/Recommendation Systems/HR@10 MovieLens 20M/Recommendation Systems/HR@10 (full corpus)MovieLens 20M/Recommendation Systems/Recall@10 MovieLens 20M/Recommendation Systems/Recall@100 MovieLens 20M/Recommendation Systems/Recall@2 MovieLens 20M/Recommendation Systems/Recall@20 MovieLens 20M/Recommendation Systems/Recall@50 MovieLens 20M/Recommendation Systems/nDCG@10 MovieLens 20M/Recommendation Systems/nDCG@10 (full corpus)MovieLens 20M/Recommendation Systems/nDCG@100 MovieLens 25M/Link Prediction/Hits@10 MovieLens 25M/Link Prediction/nDCG@10 MovieLens-Latest/Recommendation Systems/Recall@10 MovieLens-Latest/Recommendation Systems/mAP@10 MovieNet/10-shot image generation/AP MovieNet/Scene Segmentation/AP MovieNet/Semantic Segmentation/AP MovieQA/Video/Accuracy MovieSum/Text Summarization/BERTScore (F1)MovieSum/Text Summarization/ROUGE-1 MovieSum/Text Summarization/ROUGE-2 MovieSum/Text Summarization/ROUGE-L Moving MNIST/Video/LPIPS Moving MNIST/Video/MAE Moving MNIST/Video/MSE Moving MNIST/Video/PSNR Moving MNIST/Video/SSIM Moving MNIST/Video Prediction/LPIPS Moving MNIST/Video Prediction/MAE Moving MNIST/Video Prediction/MSE Moving MNIST/Video Prediction/PSNR Moving MNIST/Video Prediction/SSIM MovingFashion/Image Retrieval/Top-1 Accuracy

Statistics

Papers: 12
Benchmarks: 5

Links

Tasks

1 Image, 2*2 Stitchi 3D 3D Absolute Human Pose Estimation 3D Human Pose Estimation 3D Human Reconstruction 3D Human Shape Estimation Activity Recognition Human Mesh Recovery Pose Estimation Virtual Try-on