How do I create a custom Coco dataset for object detection?
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| Papers (8) | Insight |
|---|---|
21 Jul 2017 | On the opposite end in which accuracy is critical, we present a detector that achieves state-of-the-art performance measured on the COCO detection task. |
22 Oct 2017 | Experimental results for VOC and COCO datasets show state-of-the-art performance for object detection and segmentation among real time systems. |
01 Oct 2017 38 Citations | We also show that the approach works for object proposal on other natural images and it outperforms the previous state-of-the-art object proposal methods on the MS COCO dataset. |
18 Jun 2018 | on the MS COCO and PASCAL VOC challenges show that our approach outperforms established, typical state-of-the-art object detection pipelines. |
37 Citations | Experiments on INRIA Person dataset, Pascal VOC 2007 dataset and MS COCO dataset show that the proposed technique clearly outperforms the state-of-the-art methods for generic object detection. |
13 Sep 2017 38 Citations | Experimental results on the COCO dataset showcase the merit of the proposed method, which outperforms previous benchmark models. |
| In our experiments, we show that our approach is able to improve object detection, semantic and instance segmentation on the PASCAL VOC12 and COCO datasets, with significant gains in a limited annotation scenario, i. e., when only one category is annotated. | |
19 Jun 2018 | Comprehensive experimental results on both PASCAL VOC and MS COCO detection datasets demonstrate the effectiveness of the proposed method. |
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