metafile.yml 3.0 KB

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  1. Collections:
  2. - Name: SOLOv2
  3. Metadata:
  4. Training Data: COCO
  5. Training Techniques:
  6. - SGD with Momentum
  7. - Weight Decay
  8. Training Resources: 8x A100 GPUs
  9. Architecture:
  10. - FPN
  11. - Convolution
  12. - ResNet
  13. Paper: https://arxiv.org/abs/2003.10152
  14. README: configs/solov2/README.md
  15. Models:
  16. - Name: solov2_r50_fpn_1x_coco
  17. In Collection: SOLOv2
  18. Config: configs/solov2/solov2_r50_fpn_1x_coco.py
  19. Metadata:
  20. Training Memory (GB): 5.1
  21. Epochs: 12
  22. Results:
  23. - Task: Instance Segmentation
  24. Dataset: COCO
  25. Metrics:
  26. mask AP: 34.8
  27. Weights: https://download.openmmlab.com/mmdetection/v2.0/solov2/solov2_r50_fpn_1x_coco/solov2_r50_fpn_1x_coco_20220512_125858-a357fa23.pth
  28. - Name: solov2_r50_fpn_ms-3x_coco
  29. In Collection: SOLOv2
  30. Config: configs/solov2/solov2_r50_fpn_ms-3x_coco.py
  31. Metadata:
  32. Training Memory (GB): 5.1
  33. Epochs: 36
  34. Results:
  35. - Task: Instance Segmentation
  36. Dataset: COCO
  37. Metrics:
  38. mask AP: 37.5
  39. Weights: https://download.openmmlab.com/mmdetection/v2.0/solov2/solov2_r50_fpn_3x_coco/solov2_r50_fpn_3x_coco_20220512_125856-fed092d4.pth
  40. - Name: solov2_r101-dcn_fpn_ms-3x_coco
  41. In Collection: SOLOv2
  42. Config: configs/solov2/solov2_r101-dcn_fpn_ms-3x_coco.py
  43. Metadata:
  44. Training Memory (GB): 7.1
  45. Epochs: 36
  46. Results:
  47. - Task: Instance Segmentation
  48. Dataset: COCO
  49. Metrics:
  50. mask AP: 41.2
  51. Weights: https://download.openmmlab.com/mmdetection/v2.0/solov2/solov2_r101_dcn_fpn_3x_coco/solov2_r101_dcn_fpn_3x_coco_20220513_214734-16c966cb.pth
  52. - Name: solov2_x101-dcn_fpn_ms-3x_coco
  53. In Collection: SOLOv2
  54. Config: configs/solov2/solov2_x101-dcn_fpn_ms-3x_coco.py
  55. Metadata:
  56. Training Memory (GB): 11.3
  57. Epochs: 36
  58. Results:
  59. - Task: Instance Segmentation
  60. Dataset: COCO
  61. Metrics:
  62. mask AP: 42.4
  63. Weights: https://download.openmmlab.com/mmdetection/v2.0/solov2/solov2_x101_dcn_fpn_3x_coco/solov2_x101_dcn_fpn_3x_coco_20220513_214337-aef41095.pth
  64. - Name: solov2-light_r18_fpn_ms-3x_coco
  65. In Collection: SOLOv2
  66. Config: configs/solov2/solov2-light_r18_fpn_ms-3x_coco.py
  67. Metadata:
  68. Training Memory (GB): 9.1
  69. Epochs: 36
  70. Results:
  71. - Task: Instance Segmentation
  72. Dataset: COCO
  73. Metrics:
  74. mask AP: 29.7
  75. Weights: https://download.openmmlab.com/mmdetection/v2.0/solov2/solov2_light_r18_fpn_3x_coco/solov2_light_r18_fpn_3x_coco_20220511_083717-75fa355b.pth
  76. - Name: solov2-light_r50_fpn_ms-3x_coco
  77. In Collection: SOLOv2
  78. Config: configs/solov2/solov2-light_r50_fpn_ms-3x_coco.py
  79. Metadata:
  80. Training Memory (GB): 9.9
  81. Epochs: 36
  82. Results:
  83. - Task: Instance Segmentation
  84. Dataset: COCO
  85. Metrics:
  86. mask AP: 33.7
  87. Weights: https://download.openmmlab.com/mmdetection/v2.0/solov2/solov2_light_r50_fpn_3x_coco/solov2_light_r50_fpn_3x_coco_20220512_165256-c93a6074.pth