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BIRD

Blocksworld Image Reasoning Dataset

ImagesIntroduced 2019-05-28

Blocksworld Image Reasoning Dataset (BIRD) contains images of wooden blocks in different configurations, and the sequence of moves to rearrange one configuration to the other.

Source: Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs

Related Benchmarks

BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Semantic Parsing/Execution Accuracy % (Dev)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Semantic Parsing/Execution Accuracy % (Test)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Semantic Parsing/Execution Accurarcy (Human)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Text-To-SQL/Execution Accuracy % (Dev)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Text-To-SQL/Execution Accuracy % (Test)BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)/Text-To-SQL/Execution Accurarcy (Human)BIRDSAI - ICVGIP 2020/Object Tracking/Animals BIRDSAI - ICVGIP 2020/Object Tracking/Humans Bird-225/Fine-Grained Image Classification/Accuracy Bird-225/Image Classification/Accuracy BirdCLEF 2021/Audio Classification/Accuracy BirdCLEF 2021/Classification/Accuracy BirdClef 2020 (Pruned)/Few-Shot Learning/Top-1 Accuracy(5-Way-1-Shot)BirdClef 2020 (Pruned)/Meta-Learning/Top-1 Accuracy(5-Way-1-Shot)Birdsnap/Fine-Grained Image Classification/Accuracy Birdsnap/Image Classification/Accuracy Birdsnap/Image Clustering/Accuracy

Statistics

Papers: 5
Benchmarks: 0

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Tasks

Fine-Grained Image Classification