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- Collections:
- - Name: YOLOX
- Metadata:
- Training Data: COCO
- Training Techniques:
- - SGD with Nesterov
- - Weight Decay
- - Cosine Annealing Lr Updater
- Training Resources: 8x TITANXp GPUs
- Architecture:
- - CSPDarkNet
- - PAFPN
- Paper:
- URL: https://arxiv.org/abs/2107.08430
- Title: 'YOLOX: Exceeding YOLO Series in 2021'
- README: configs/yolox/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.15.1/mmdet/models/detectors/yolox.py#L6
- Version: v2.15.1
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- Models:
- - Name: yolox_tiny_8x8_300e_coco
- In Collection: YOLOX
- Config: configs/yolox/yolox_tiny_8x8_300e_coco.py
- Metadata:
- Training Memory (GB): 3.6
- Epochs: 300
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 31.6
- Weights: https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_tiny_8x8_300e_coco/yolox_tiny_8x8_300e_coco_20210806_234250-4ff3b67e.pth
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