Loading README.md +1 −1 Original line number Original line Diff line number Diff line Loading @@ -28,7 +28,7 @@ To solve the above issues, we collect a large-scale object localization and coun More than 1.9 million object instances in 140 categories (including *Jacket*, *Shoes*, *Oven*, etc.) are annotated. More than 1.9 million object instances in 140 categories (including *Jacket*, *Shoes*, *Oven*, etc.) are annotated. <div align=center><img src="Images/dataset-summary.png" width="1000" height="400"/></div> <div align=center><img src="Images/dataset-summary.png" width="1000" height="350"/></div> Table 1: Summary of existing object detection benchmarks in retail stores. “C” indicates the image classification task, “S” Table 1: Summary of existing object detection benchmarks in retail stores. “C” indicates the image classification task, “S” indicates the single-class object detection task, and “M” indicates the multi-class object detection task. indicates the single-class object detection task, and “M” indicates the multi-class object detection task. Loading Loading
README.md +1 −1 Original line number Original line Diff line number Diff line Loading @@ -28,7 +28,7 @@ To solve the above issues, we collect a large-scale object localization and coun More than 1.9 million object instances in 140 categories (including *Jacket*, *Shoes*, *Oven*, etc.) are annotated. More than 1.9 million object instances in 140 categories (including *Jacket*, *Shoes*, *Oven*, etc.) are annotated. <div align=center><img src="Images/dataset-summary.png" width="1000" height="400"/></div> <div align=center><img src="Images/dataset-summary.png" width="1000" height="350"/></div> Table 1: Summary of existing object detection benchmarks in retail stores. “C” indicates the image classification task, “S” Table 1: Summary of existing object detection benchmarks in retail stores. “C” indicates the image classification task, “S” indicates the single-class object detection task, and “M” indicates the multi-class object detection task. indicates the single-class object detection task, and “M” indicates the multi-class object detection task. Loading
