Paul Pacaud PRO

paulpacaud's activity

• All
• Models
• Datasets
• Spaces
• Papers
• Collections
• Community
• Posts
• Upvotes
• Likes
• Articles

updated 9 datasets 5 days ago

paulpacaud/rlbenchfail_test_dataset

Viewer • Updated 5 days ago • 4.5k • 97

paulpacaud/rlbenchfail_val_dataset

Viewer • Updated 5 days ago • 4.5k • 57

paulpacaud/rlbenchfail_train_dataset

Viewer • Updated 5 days ago • 54.5k • 79

paulpacaud/ur5fail_train_dataset

Viewer • Updated 5 days ago • 1.8k • 79

paulpacaud/ur5fail_test_dataset

Viewer • Updated 5 days ago • 840 • 53

paulpacaud/ur5fail_val_dataset

Viewer • Updated 5 days ago • 180 • 72

paulpacaud/bdv2fail_test_dataset

Viewer • Updated 5 days ago • 3.5k • 51

paulpacaud/bdv2fail_train_dataset

Viewer • Updated 5 days ago • 30.3k • 52

paulpacaud/bdv2fail_val_dataset

Viewer • Updated 5 days ago • 3.5k • 57

updated 3 collections 12 days ago

RLBench-Fail - Robot Failure Detection Benchmark

Collection

VQA images-pair for fine-grained, multi-class failure detection annotated with multi-step reasoning traces. Features a simulated Franka Emika Panda. • 3 items • Updated 12 days ago

BridgeDataV2-Fail - Robot Failure Detection Benchmark

Collection

VQA images-pair for fine-grained, multi-class failure detection annotated with multi-step reasoning traces. Features a real robot WidowX250 arm. • 3 items • Updated 12 days ago

UR5-Fail - Robot Failure Detection Benchmark

Collection

VQA images-pair for fine-grained, multi-class failure detection annotated with multi-step reasoning traces. Features a real robot UR5 arm. • 3 items • Updated 12 days ago

upvoted a collection 12 days ago

Robotic Failure Detection Dataset & Model (Guardian)

Collection

Datasets containing robotic failure detection datasets and benchmarks. The data is organized as image VQA with multi-class, fine-grained failures. • 9 items • Updated 12 days ago • 1

updated a collection 12 days ago

Robotic Failure Detection Dataset & Model (Guardian)

Collection

Datasets containing robotic failure detection datasets and benchmarks. The data is organized as image VQA with multi-class, fine-grained failures. • 9 items • Updated 12 days ago • 1