Table 5 Object detection results on real world images.
From: Visual imitation learning from one-shot demonstration for multi-step robot pick and place tasks
Classes | Images | Instances | Precision | Recall | mAP50 | mAP50-95 |
|---|---|---|---|---|---|---|
all | 971 | 5826 | \(100\%\) | \(83.3\%\) | \(90.5\%\) | \(72.1\%\) |
GrayBox | 971 | 971 | \(100\%\) | \(50.3\%\) | \(75.1\%\) | \(38.5\%\) |
BlueBox | 971 | 971 | \(99.9\%\) | \(49.7\%\) | \(70.1\%\) | \(70.1\%\) |
Parallelogram | 971 | 971 | \(100\%\) | \(100\%\) | \(99.5\%\) | \(73.5\%\) |
Cuboid | 971 | 971 | \(100\%\) | \(100\%\) | \(99.5\%\) | \(71.4\%\) |
Octagon | 971 | 971 | \(100\%\) | \(100\%\) | \(99.5\%\) | \(89.9\%\) |
Star | 971 | 971 | \(100\%\) | \(100\%\) | \(99.5\%\) | \(89.3\%\) |
