why "accuracy_all" always zero(0.0000) when i m training my dataset??

[tim94173]

No description provided.

[flying-hou]

I have the same problem.No matter how you train, only Person and car have very low AP.

+-------+----------------+---------+
| Index | Class name | AP |
+-------+----------------+---------+
| 0 | person | 0.24477 |
| 1 | bicycle | 0.00000 |
| 2 | car | 0.00197 |
| 3 | motorbike | 0.00000 |
| 4 | aeroplane | 0.00000 |
| 5 | bus | 0.00000 |
| 6 | train | 0.00000 |
| 7 | truck | 0.00000 |
| 8 | boat | 0.00000 |
| 9 | traffic light | 0.00000 |
| 10 | fire hydrant | 0.00000 |
| 11 | stop sign | 0.00000 |
| 12 | parking meter | 0.00000 |
| 13 | bench | 0.00000 |
| 14 | bird | 0.00000 |
| 15 | cat | 0.00000 |
| 16 | dog | 0.00000 |
| 17 | horse | 0.00000 |
| 18 | sheep | 0.00000 |
| 19 | cow | 0.00000 |
| 20 | elephant | 0.00000 |
| 21 | bear | 0.00000 |
| 22 | zebra | 0.00000 |
| 23 | giraffe | 0.00000 |
| 24 | backpack | 0.00000 |
| 25 | umbrella | 0.00000 |
| 26 | handbag | 0.00000 |
| 27 | tie | 0.00000 |
| 28 | suitcase | 0.00000 |
| 29 | frisbee | 0.00000 |
| 30 | skis | 0.00000 |
| 31 | snowboard | 0.00000 |
| 32 | sports ball | 0.00000 |
| 33 | kite | 0.00000 |
| 34 | baseball bat | 0.00000 |
| 35 | baseball glove | 0.00000 |
| 36 | skateboard | 0.00000 |
| 37 | surfboard | 0.00000 |
| 38 | tennis racket | 0.00000 |
| 39 | bottle | 0.00000 |
| 40 | wine glass | 0.00000 |
| 41 | cup | 0.00000 |
| 42 | fork | 0.00000 |
| 43 | knife | 0.00000 |
| 44 | spoon | 0.00000 |
| 45 | bowl | 0.00000 |
| 46 | banana | 0.00000 |
| 47 | apple | 0.00000 |
| 48 | sandwich | 0.00000 |
| 49 | orange | 0.00000 |
| 50 | broccoli | 0.00000 |
| 51 | carrot | 0.00000 |
| 52 | hot dog | 0.00000 |
| 53 | pizza | 0.00000 |
| 54 | donut | 0.00000 |
| 55 | cake | 0.00000 |
| 56 | chair | 0.00000 |
| 57 | sofa | 0.00000 |
| 58 | pottedplant | 0.00000 |
| 59 | bed | 0.00000 |
| 60 | diningtable | 0.00000 |
| 61 | toilet | 0.00000 |
| 62 | tvmonitor | 0.00000 |
| 63 | laptop | 0.00000 |
| 64 | mouse | 0.00000 |
| 65 | remote | 0.00000 |
| 66 | keyboard | 0.00000 |
| 67 | cell phone | 0.00000 |
| 68 | microwave | 0.00000 |
| 69 | oven | 0.00000 |
| 70 | toaster | 0.00000 |
| 71 | sink | 0.00000 |
| 72 | refrigerator | 0.00000 |
| 73 | book | 0.00000 |
| 74 | clock | 0.00000 |
| 75 | vase | 0.00000 |
| 76 | scissors | 0.00000 |
| 77 | teddy bear | 0.00000 |
| 78 | hair drier | 0.00000 |
| 79 | toothbrush | 0.00000 |
+-------+----------------+---------+
---- mAP 0.003084225397001062