Published May 29, 2019
| Version v1
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resnet34-ssd1200.pytorch model
Description
Application: Single-stage Object Detection
Base model: ResNet-34
Framework: pytorch1.0
Training Information: based on mlperf/training/single_stage_detector. Details in mlperf/inference/ readme file
Quality: The COCO mAP(IoU=0.50:0.95) on 5000 validation images is 20.0%
Precision: single-precision float
Is Quantized: No
Dataset: COCO val-2017
Files
Files
(80.5 MB)
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md5:520d326011fa225d3c8a39eac01df34c
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80.5 MB | Download |