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| Person | |
| Car | |
| Bicycle | |
| Bus | |
| Motorbike | |
| Train | |
| Aeroplane | |
| Chair | |
| Bottle | |
| Dining Table | |
| Potted Plant | |
| TV/Monitor | |
| Sofa | |
| Bird | |
| Cat | |
| Cow | |
| Dog | |
| Horse | |
| Sheep |
The above labels are of COCO dataset and not PASCAL VOC dataset
1:'aeroplane'
2:'bicycle'
3:'bird'
4:'boat'
5:'bottle'
6:'bus'
7:'car'
8:'cat'
9:'chair'
10:'cow'
11:'diningtable'
12:'dog'
13:'horse'
14:'motorbike'
15:'person'
16:'pottedplant'
17:'sheep'
18:'sofa'
19:'train'
20:'tvmonitor'
Isn't this the correct one??
The above labels are of COCO dataset and not PASCAL VOC dataset
1:'aeroplane'
2:'bicycle'
3:'bird'
4:'boat'
5:'bottle'
6:'bus'
7:'car'
8:'cat'
9:'chair'
10:'cow'
11:'diningtable'
12:'dog'
13:'horse'
14:'motorbike'
15:'person'
16:'pottedplant'
17:'sheep'
18:'sofa'
19:'train'
20:'tvmonitor'Isn't this the correct one??
Yes, those are the correct ones. For my ease, I have converted pascal_label_map.pbtxt shared by TensorFlow models (under models/research/object_detection/data/) here
what about "Boat" ?