BigDetection
Introduced by Cai et al. in BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
BigDetection is a new large-scale benchmark to build more general and powerful object detection systems. It leverages the training data from existing datasets (LVIS, OpenImages and Object365) with carefully designed principles, and curate a larger dataset for improved detector pre-training. BigDetection dataset has 600 object categories and contains 3.4M training images with 36M object bounding boxes.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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BigDetection val
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Cascade R-CNN
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Papers
| Paper | Code | Results | Date | Stars |
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