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TACO dataset and benchmarks · SOTA2 Research

Research Datasets

TACO

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Class-level Continual Learning

TACO

73.8AA

56

Code Generation

TACO Verified

96.3During-task Accuracy

29

Fine-grained class-level continual learning

TACO (session=8)

71.32Average Accuracy (AA)

11

Touch Event Detection

TACO 1.0 (test)

48.38mAP

8

Touch Event Detection

TACO (test)

48.38mAP

8

Object Detection

TACO

30.3AR

8

Semantic Segmentation

TACO 10 Epochs (test)

61.06mIoU

7

Competitive Programming

TACO (val)

45.1Pass@1

6

Dexterous Grasping

TaCo IsaacSim Dexterous Grasping

54.7s_lift (Small)

5

Coding Reasoning

Taco

48.4Pass Rate

5

Exocentric-to-Egocentric Translation

TACO (unseen actions)

37.191FID

4

Code Generation

TACO

17.9Avg@8

4

Object Pose Estimation

TACO

1.447CD (cm)

3

Synthetic Code Data Quality Evaluation

TACO Synthetic Code Data

28.91Originality

3

Hand Pose Estimation

TACO S1 (test)

8.02PA-MPJPE

3

Object Detection

Extended TACO

40.4mAP (0.50:0.95)

2

Popular tasks

Code Generation Object Detection Touch Event Detection Semantic segmentation Hand Pose Estimation

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