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metafile.yml
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Collections:
- Name: YOLOv6
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Nesterov
- Weight Decay
- AMP
- Synchronize BN
Training Resources: 8x A100 GPUs
Architecture:
- CSPDarkNet
- PAFPN
- RepVGG
Paper:
URL: https://arxiv.org/abs/2209.02976
Title: 'YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications'
README: configs/yolov6/README.md
Code:
URL: https://github.com/open-mmlab/mmyolo/blob/v0.0.1/mmyolo/models/detectors/yolo_detector.py#L12
Version: v0.0.1
Models:
- Name: yolov6_s_syncbn_fast_8xb32-400e_coco
In Collection: YOLOv6
Config: configs/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco.py
Metadata:
Training Memory (GB): 8.88
Epochs: 400
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.0
Weights: https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco/yolov6_s_syncbn_fast_8xb32-400e_coco_20221102_203035-932e1d91.pth
- Name: yolov6_n_syncbn_fast_8xb32-400e_coco
In Collection: YOLOv6
Config: configs/yolov6/yolov6_n_syncbn_fast_8xb32-400e_coco.py
Metadata:
Training Memory (GB): 6.04
Epochs: 400
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 36.2
Weights: https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_n_syncbn_fast_8xb32-400e_coco/yolov6_n_syncbn_fast_8xb32-400e_coco_20221030_202726-d99b2e82.pth
- Name: yolov6_t_syncbn_fast_8xb32-400e_coco
In Collection: YOLOv6
Config: configs/yolov6/yolov6_t_syncbn_fast_8xb32-400e_coco.py
Metadata:
Training Memory (GB): 8.13
Epochs: 400
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.0
Weights: https://download.openmmlab.com/mmyolo/v0/yolov6/yolov6_t_syncbn_fast_8xb32-400e_coco/yolov6_t_syncbn_fast_8xb32-400e_coco_20221030_143755-cf0d278f.pth