resnet34-ssd1200 onnx model

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

created from pytorch model using the instructions from here: https://github.com/BowenBao/inference/tree/master/cloud/single_stage_detector/pytorch#6-onnx

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average