Published May 24, 2019
| Version 0.1
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Trained ssd-resnet34 onnx model for MLPerf Cloud Inference
Description
- Application: Object Detection
- ML Task: ssd-resnet34
- Framework: onnx
- Training Information:
- Quality: 0.20%
- Precision: fp32
- Is Quantized: no
- Is ONNX: yes
- Dataset: http://images.cocodataset.org/zips/val2014.zip (resized to 1200x1200)
- Source Model: https://github.com/mlperf/inference/tree/master/cloud/single_stage_detector
Notes
created from pytorch model using the instructions from here: https://github.com/BowenBao/inference/tree/master/cloud/single_stage_detector/pytorch#6-onnx
Files
Files
(80.1 MB)
| Name | Size | Download all |
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md5:e73aa7d70ec581e4a7a55291911fc25c
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80.1 MB | Download |