accuracy_report_20250310-190344_pc.md

serial_num	model_id	runtime_name	task_type	dataset_name	model_path	input_resolution	metric_name	AM68A_32bits-float-simulation_metric	AM68A_8bits_metric	metric_reference	model_shortlist	run_dir	artifact_name
25	cl-0000	tflitert	classification	imagenet	mobilenet_v1_1.0_224.tflite	224	accuracy_top1%	71.3	71.2	71.676	10	cl-0000_tflitert_imagenet1k_mlperf_mobilenet_v1_1.0_224_tflite	TFL-CL-0000-mobileNetV1-mlperf
67	cl-0010	tflitert	classification	imagenet	mobilenet_v2_1.0_224.tflite	224	accuracy_top1%	71.3	70.9	71.9	30	cl-0010_tflitert_imagenet1k_tf1-models_mobilenet_v2_1.0_224_tflite	TFL-CL-0010-mobileNetV2
9	cl-0080	tflitert	classification	imagenet	mobilenet_edgetpu_224_1.0_float.tflite	224	accuracy_top1%	76.7	76.6	75.6	40	cl-0080_tflitert_imagenet1k_mlperf_mobilenet_edgetpu_224_1.0_float_tflite	TFL-CL-0080-mobileNet-edgeTPU-mlperf
73	cl-0090	tflitert	classification	imagenet	efficientnet-edgetpu-S_float.tflite	224	accuracy_top1%	77.7	77.4	77.23	40	cl-0090_tflitert_imagenet1k_tf-tpu_efficientnet-edgetpu-S_float_tflite	TFL-CL-0090-efficientNet-edgeTPU-s
42	cl-0100	tflitert	classification	imagenet	efficientnet-edgetpu-M_float.tflite	240	accuracy_top1%	78.8	78.7	78.69	90	cl-0100_tflitert_imagenet1k_tf-tpu_efficientnet-edgetpu-M_float_tflite	TFL-CL-0100-efficientNet-edgeTPU-m
71	cl-0130	tflitert	classification	imagenet	efficientnet-lite0-fp32.tflite	224	accuracy_top1%	74.6	75	75.1	30	cl-0130_tflitert_imagenet1k_tf-tpu_efficientnet-lite0-fp32_tflite	TFL-CL-0130-efficientNet-lite0
77	cl-0140	tflitert	classification	imagenet	efficientnet-lite4-fp32.tflite	300	accuracy_top1%	82.6	82.4	81.5	40	cl-0140_tflitert_imagenet1k_tf-tpu_efficientnet-lite4-fp32_tflite	TFL-CL-0140-efficientNet-lite4
79	cl-0160	tflitert	classification	imagenet	resnet50_v1.tflite	224	accuracy_top1%	76.8	75.8	76.456	30	cl-0160_tflitert_imagenet1k_mlperf_resnet50_v1_tflite	TFL-CL-0160-resNet50V1p5-mlperf
20	cl-0170	tflitert	classification	imagenet	efficientnet-lite1-fp32.tflite	240	accuracy_top1%	76.5	76.6	76.7	90	cl-0170_tflitert_imagenet1k_tf-tpu_efficientnet-lite1-fp32_tflite	TFL-CL-0170-efficientNet-lite1
90	cl-0200	tflitert	classification	imagenet	mobilenet_v2_float_1.4_224.tflite	224	accuracy_top1%	75.5	75.1	75	90	cl-0200_tflitert_imagenet1k_tf1-models_mobilenet_v2_float_1.4_224_tflite	TFL-CL-0200-mobileNetV2-1p4
66	cl-3090	tvmdlr	classification	imagenet	mobilenet_v2_tv.onnx	224	accuracy_top1%	74.1	72.5	71.88	10	cl-3090_tvmdlr_imagenet1k_torchvision_mobilenet_v2_tv_onnx	TVM-CL-3090-mobileNetV2-tv
64	cl-6010	onnxrt	classification	imagenet	resnet50_v1_shape.onnx	224	accuracy_top1%	76.8	76.2	76.456	30	cl-6010_onnxrt_imagenet1k_mlperf_resnet50_v1_shape_onnx	ONR-CL-6010-resNet50V1p5-mlperf-onnx
13	cl-6080	onnxrt	classification	imagenet	shufflenet_v2_x1.0.onnx	224	accuracy_top1%	71.1	69.2	69.36	90	cl-6080_onnxrt_imagenet1k_torchvision_shufflenet_v2_x1.0_onnx	ONR-CL-6080-shuffleNetV2
80	cl-6090	onnxrt	classification	imagenet	mobilenet_v2_tv.onnx	224	accuracy_top1%	74.2	73.3	71.88	20	cl-6090_onnxrt_imagenet1k_torchvision_mobilenet_v2_tv_onnx	ONR-CL-6090-mobileNetV2-tv
60	cl-6098	onnxrt	classification	imagenet	mobilenet_v2_tv_qat-p2.onnx	224	accuracy_top1%	68.3	69.9	71.31	40	cl-6098_onnxrt_imagenet1k_torchvision_mobilenet_v2_tv_qat-p2_onnx	ONR-CL-6098-mobileNetV2-tv-qat
46	cl-6100	onnxrt	classification	imagenet	resnet18.onnx	224	accuracy_top1%	72.2	72.2	69.76	30	cl-6100_onnxrt_imagenet1k_torchvision_resnet18_onnx	ONR-CL-6100-resNet18
4	cl-6110	onnxrt	classification	imagenet	resnet50.onnx	224	accuracy_top1%	77.5	77.7	76.15	30	cl-6110_onnxrt_imagenet1k_torchvision_resnet50_onnx	ONR-CL-6110-resNet50
59	cl-6160	onnxrt	classification	imagenet	regnet_x_400mf_tv.onnx	224	accuracy_top1%	74.1	73.8	72.834	20	cl-6160_onnxrt_imagenet1k_torchvision_regnet_x_400mf_tv_onnx	ONR-CL-6160-regNetX-400mf-tv
45	cl-6170	onnxrt	classification	imagenet	regnet_x_800mf_tv.onnx	224	accuracy_top1%	76	76.5	75.212	20	cl-6170_onnxrt_imagenet1k_torchvision_regnet_x_800mf_tv_onnx	ONR-CL-6170-regNetX-800mf-tv
32	cl-6180	onnxrt	classification	imagenet	regnet_x_1_6gf_tv.onnx	224	accuracy_top1%	78	77.7	77.04	40	cl-6180_onnxrt_imagenet1k_torchvision_regnet_x_1_6gf_tv_onnx	ONR-CL-6180-regNetX-1.6gf-tv
18	cl-6360	onnxrt	classification	imagenet	regnetx-200mf.onnx	224	accuracy_top1%	71.2	69.8	68.9	1	cl-6360_onnxrt_imagenet1k_fbr-pycls_regnetx-200mf_onnx	ONR-CL-6360-regNetx-200mf
21	cl-6480	onnxrt	classification	imagenet	mobilenet_v3_lite_small_20210429.onnx	224	accuracy_top1%	63.4	63.1	62.688	30	cl-6480_onnxrt_imagenet1k_edgeai-tv_mobilenet_v3_lite_small_20210429_onnx	ONR-CL-6480-mobv3-lite-small
14	cl-6488	onnxrt	classification	imagenet	mobilenet_v3_lite_small_qat-p2_20210429.onnx	224	accuracy_top1%	47.4	62.9	61.836	40	cl-6488_onnxrt_imagenet1k_edgeai-tv_mobilenet_v3_lite_small_qat-p2_20210429_onnx	ONR-CL-6488-mobv3-lite-small-qat
98	cl-6490	onnxrt	classification	imagenet	mobilenet_v3_lite_large_20210507.onnx	224	accuracy_top1%	72.2	70.3	72.122	30	cl-6490_onnxrt_imagenet1k_edgeai-tv_mobilenet_v3_lite_large_20210507_onnx	ONR-CL-6490-mobv3-lite-large
88	cl-6500	onnxrt	classification	imagenet	mobilenet_v2_lite_wt-v2_20231101_model.onnx	224	accuracy_top1%	73.4	72.4	72.8	100	cl-6500_onnxrt_imagenet1k_edgeai-tv2_mobilenet_v2_lite_wt-v2_20231101_model_onnx	ONR-CL-6500-mobileNetV2-lite-wtv2-224
83	cl-6508	onnxrt	classification	imagenet	mobilenet_v2_lite_wt-v2_qat-v2-wc8-at8_20231120_model.onnx	224	accuracy_top1%	72.1	72.3	72.476	20	cl-6508_onnxrt_imagenet1k_edgeai-tv2_mobilenet_v2_lite_wt-v2_qat-v2-wc8-at8_20231120_model_onnx	ONR-CL-6508-mobileNetV2-lite-wtv2-qatv2-perc-224
86	cl-6510	onnxrt	classification	imagenet	mobilenet_v3_large_lite_wt-v2_20231011_model.onnx	224	accuracy_top1%	70.4	69.7	71.7	100	cl-6510_onnxrt_imagenet1k_edgeai-tv2_mobilenet_v3_large_lite_wt-v2_20231011_model_onnx	ONR-CL-6510-mobileNetV3-large-lite-wtv2-224
58	cl-6530	onnxrt	classification	imagenet	resnet50_lite_wt-v2_20230919.onnx	224	accuracy_top1%	81.5	80.9	80.86	100	cl-6530_onnxrt_imagenet1k_edgeai-tv2_resnet50_lite_wt-v2_20230919_onnx	ONR-CL-6530-resNet50-wtv2-224
75	cl-6540	onnxrt	classification	imagenet	resnet101_lite_wt-v2_20230919.onnx	224	accuracy_top1%	82.9	82.8	81.88	100	cl-6540_onnxrt_imagenet1k_edgeai-tv2_resnet101_lite_wt-v2_20230919_onnx	ONR-CL-6540-resNet101-wtv2-224
15	cl-6550	onnxrt	classification	imagenet	resnext50_32x4d_lite_wt-v2_20230920.onnx	224	accuracy_top1%	82	81.8	81.2	100	cl-6550_onnxrt_imagenet1k_edgeai-tv2_resnext50_32x4d_lite_wt-v2_20230920_onnx	ONR-CL-6550-resNeXt50-32x4d-wtv2-224
35	cl-6570	onnxrt	classification	imagenet	regnet_x_1_6gf_lite_wt-v2_20230920.onnx	224	accuracy_top1%	81	80.7	79.67	100	cl-6570_onnxrt_imagenet1k_edgeai-tv2_regnet_x_1_6gf_lite_wt-v2_20230920_onnx	ONR-CL-6570-regNetX-1.6gf-wtv2-224
96	cl-6580	onnxrt	classification	imagenet	regnet_x_400mf_lite_wt-v2_20230920.onnx	224	accuracy_top1%	76	76.1	74.86	100	cl-6580_onnxrt_imagenet1k_edgeai-tv2_regnet_x_400mf_lite_wt-v2_20230920_onnx	ONR-CL-6580-regNetX-400mf-wtv2-224
5	cl-6590	onnxrt	classification	imagenet	regnet_x_800mf_lite_wt-v2_20230920.onnx	224	accuracy_top1%	79	77	75.21	100	cl-6590_onnxrt_imagenet1k_edgeai-tv2_regnet_x_800mf_lite_wt-v2_20230920_onnx	ONR-CL-6590-regNetX-800mf-wtv2-224
29	cl-6600	onnxrt	classification	imagenet	mobilenet_v2_wt-v2_20240904_model.onnx	224	accuracy_top1%	72	71.4	72.15	100	cl-6600_onnxrt_imagenet1k_edgeai-tv2_mobilenet_v2_wt-v2_20240904_model_onnx	ONR-CL-6600-mobileNetV2-wtv2-224
3	cl-6720	onnxrt	classification	imagenet	deit_tiny_patch16_224_simp.onnx	224	accuracy_top1%	73.1	72.9	72.13	80	cl-6720_onnxrt_imagenet1k_hf-transformers_deit_tiny_patch16_224_simp_onnx	ONR-CL-6720-DeiT-tiny-patch16-transformer-224
28	cl-6730	onnxrt	classification	imagenet	levit_128_224_simp.onnx	224	accuracy_top1%	80	78.2	78.59	80	cl-6730_onnxrt_imagenet1k_hf-transformers_levit_128_224_simp_onnx	ONR-CL-6730-LeViT-128-transformer-224
19	cl-6750	onnxrt	classification	imagenet	swin_tiny_patch4_window7_224_simp.onnx	224	accuracy_top1%	82.1	77.9	80.43	80	cl-6750_onnxrt_imagenet1k_hf-transformers_swin_tiny_patch4_window7_224_simp_onnx	ONR-CL-6750-Swin-tiny-patch4-window7-transformer-224
85	cl-6760	onnxrt	classification	imagenet	swin_small_patch4_window7_224_simp.onnx	224	accuracy_top1%	84.3	78.6	83.07	80	cl-6760_onnxrt_imagenet1k_hf-transformers_swin_small_patch4_window7_224_simp_onnx	ONR-CL-6760-Swin-small-patch4-window7-transformer-224
56	cl-6840	onnxrt	classification	imagenet	mobilenet_v3_large.onnx	224	accuracy_top1%	75.6	71.8	75.274	110	cl-6840_onnxrt_imagenet1k_torchvision_mobilenet_v3_large_onnx	ONR-CL-6840-mobilenetV3-large-224
82	kd-7060	onnxrt	keypoint_detection	cocokpts	yolox_s_pose_ti_lite_640_20220301_model.onnx	640	accuracy_ap[.5:.95]%	50.682419	49.837607	49.6	10	kd-7060_onnxrt_coco_edgeai-yolox_yolox_s_pose_ti_lite_640_20220301_model_onnx	ONR-KD-7060-human-pose-yolox-s-640x640
53	kd-7070	onnxrt	keypoint_detection	cocokpts	yoloxpose_tiny_lite_416x416_20240808_model.onnx	416	accuracy_ap[.5:.95]%	47.470524	46.725586	47.2	100	kd-7070_onnxrt_coco_edgeai-mmpose_yoloxpose_tiny_lite_416x416_20240808_model_onnx	ONR-KD-7070-yoloxpose_tiny_lite_416x416_20240808_model
30	kd-7080	onnxrt	keypoint_detection	cocokpts	yoloxpose_s_lite_coco-640x640_20250119_model.onnx	640	accuracy_ap[.5:.95]%	56.698053	54.484905	56.4	100	kd-7080_onnxrt_coco_edgeai-mmpose_yoloxpose_s_lite_coco-640x640_20250119_model_onnx	ONR-KD-7080-yoloxpose_s_lite_coco-640x640_20250119_model
2	od-2000	tflitert	detection	coco	ssd_mobilenet_v1_coco_20180128.tflite	300x300	accuracy_ap[.5:.95]%	26.856164	26.709601	23	30	od-2000_tflitert_coco_mlperf_ssd_mobilenet_v1_coco_20180128_tflite	TFL-OD-2000-ssd-mobV1-coco-mlperf-300x300
62	od-2010	tflitert	detection	coco	ssd_mobilenet_v2_300_float.tflite	300x300	accuracy_ap[.5:.95]%	26.471003	26.086265	22	20	od-2010_tflitert_coco_mlperf_ssd_mobilenet_v2_300_float_tflite	TFL-OD-2010-ssd-mobV2-coco-mlperf-300x300
27	od-2020	tflitert	detection	coco	ssdlite_mobiledet_dsp_320x320_coco_20200519.tflite	320x320	accuracy_ap[.5:.95]%	37.302386	36.986414	28.9	10	od-2020_tflitert_coco_tf1-models_ssdlite_mobiledet_dsp_320x320_coco_20200519_tflite	TFL-OD-2020-ssdLite-mobDet-DSP-coco-320x320
51	od-2030	tflitert	detection	coco	ssdlite_mobiledet_edgetpu_320x320_coco_20200519.tflite	320x320	accuracy_ap[.5:.95]%	32.837245	32.677857	25.9	40	od-2030_tflitert_coco_tf1-models_ssdlite_mobiledet_edgetpu_320x320_coco_20200519_tflite	TFL-OD-2030-ssdLite-mobDet-EdgeTPU-coco-320x320
17	od-2070	tflitert	detection	coco	ssd_mobilenet_v1_fpn_640x640_coco17_tpu-8.tflite	640x640	accuracy_ap[.5:.95]%	27.177042	27.21414	29.1	90	od-2070_tflitert_coco_tf2-models_ssd_mobilenet_v1_fpn_640x640_coco17_tpu-8_tflite	TFL-OD-2070-ssd-mobV1-fpn-coco-tpu-8-640x640
68	od-2080	tflitert	detection	coco	ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8.tflite	320x320	accuracy_ap[.5:.95]%	21.853609	21.261156	22.2	30	od-2080_tflitert_coco_tf2-models_ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8_tflite	TFL-OD-2080-ssd-mobV2-fpnlite-coco-tpu-8-320x320
33	od-2150	tflitert	detection	coco	efficientdet_lite1_relu.tflite	384x384	accuracy_ap[.5:.95]%	31.604425	31.096108	31.79	30	od-2150_tflitert_coco_google-automl_efficientdet_lite1_relu_tflite	TFL-OD-2150-efficientDet-lite1-relu-coco-384x384
8	od-5120	tvmdlr	detection	coco	ssdlite_mobiledet_dsp_320x320_coco_20200519.tflite	320x320	accuracy_ap[.5:.95]%	35.834547	34.833403	28.9	10	od-5120_tvmdlr_coco_tf1-models_ssdlite_mobiledet_dsp_320x320_coco_20200519_tflite	TVM-OD-5120-ssdLite-mobDet-DSP-coco-320x320
89	od-8020	onnxrt	detection	coco	ssd_mobilenetv2_lite_512x512_20201214_model.onnx	512x512	accuracy_ap[.5:.95]%	26.387228	24.516097	25.1	10	od-8020_onnxrt_coco_edgeai-mmdet_ssd_mobilenetv2_lite_512x512_20201214_model_onnx	ONR-OD-8020-ssd-lite-mobv2-mmdet-coco-512x512
11	od-8040	onnxrt	detection	coco	ssd_regnetx-200mf_fpn_bgr_lite_320x320_20201010_model.onnx	320x320	accuracy_ap[.5:.95]%	21.445944	19.701837	20.7	30	od-8040_onnxrt_coco_edgeai-mmdet_ssd_regnetx-200mf_fpn_bgr_lite_320x320_20201010_model_onnx	ONR-OD-8040-ssd-lite-regNetX-200mf-fpn-bgr-mmdet-coco-320x320
69	od-8200	onnxrt	detection	coco	yolox_nano_lite_416x416_20220214_model.onnx	416	accuracy_ap[.5:.95]%	24.860188	24.603021	24.8	10	od-8200_onnxrt_coco_edgeai-mmdet_yolox_nano_lite_416x416_20220214_model_onnx	ONR-OD-8200-yolox-nano-lite-mmdet-coco-416x416
48	od-8210	onnxrt	detection	coco	yolox_tiny_lite_416x416_20220217_model.onnx	416	accuracy_ap[.5:.95]%	30.65698	29.841896	30.5	20	od-8210_onnxrt_coco_edgeai-mmdet_yolox_tiny_lite_416x416_20220217_model_onnx	ONR-OD-8210-yolox-tiny-lite-mmdet-coco-416x416
70	od-8220	onnxrt	detection	coco	yolox_s_lite_640x640_20220221_model.onnx	640	accuracy_ap[.5:.95]%	38.607187	38.221731	38.3	10	od-8220_onnxrt_coco_edgeai-mmdet_yolox_s_lite_640x640_20220221_model_onnx	ONR-OD-8220-yolox-s-lite-mmdet-coco-640x640
74	od-8270	onnxrt	detection	coco	yolox_pico_lite_320x320_20230410_model.onnx	320	accuracy_ap[.5:.95]%	17.991252	17.690788	17.9	20	od-8270_onnxrt_coco_edgeai-mmdet_yolox_pico_lite_320x320_20230410_model_onnx	ONR-OD-8270-yolox-pico-lite-mmdet-coco-320x320
93	od-8410	onnxrt	detection	widerface	yolox_tiny_lite_416x416_20220318_model.onnx	416	accuracy_ap[.5:.95]%	20.599362	20.167775	23.5	20	od-8410_onnxrt_widerface_edgeai-mmdet_yolox_tiny_lite_416x416_20220318_model_onnx	ONR-OD-8410-yolox-tiny-lite-mmdet-widerface-416x416
61	od-8420	onnxrt	detection	widerface	yolox_s_lite_640x640_20220307_model.onnx	640	accuracy_ap[.5:.95]%	29.562684	29.29944	31.62	10	od-8420_onnxrt_widerface_edgeai-mmdet_yolox_s_lite_640x640_20220307_model_onnx	ONR-OD-8420-yolox-s-lite-mmdet-widerface-640x640
40	od-8970	onnxrt	detection	coco	efficientdet_effb0_bifpn_lite_512x512_20240612_model.onnx	512x512	accuracy_ap[.5:.95]%	33.820286	32.924691	32.2	100	od-8970_onnxrt_coco_edgeai-mmdet_efficientdet_effb0_bifpn_lite_512x512_20240612_model_onnx	ONR-OD-8970-efficientDet-b0-bifpn-lite-coco-512x512
100	od-9202	onnxrt	detection	coco	yolov7_l_coco_lite_640x640_20250109_model.onnx	640	accuracy_ap[.5:.95]%	47.64089	43.32226	45.9	70	od-9202_onnxrt_coco_edgeai-mmdet_yolov7_l_coco_lite_640x640_20250109_model_onnx	ONR-OD-9202-yolov7-l-lite-mmdet-coco-640x640
65	od-9203	onnxrt	detection	coco	yolov7_l_coco_orig_640x640_20250109_model.onnx	640	accuracy_ap[.5:.95]%	51.090796	43.911938	50.3	70	od-9203_onnxrt_coco_edgeai-mmdet_yolov7_l_coco_orig_640x640_20250109_model_onnx	ONR-OD-9203-yolov7-l-mmdet-coco-640x640
16	od-9204	onnxrt	detection	coco	yolov9_s_coco_lite_640x640_20250219_model.onnx	640	accuracy_ap[.5:.95]%	39.740108	38.178243	38.3	70	od-9204_onnxrt_coco_edgeai-mmdet_yolov9_s_coco_lite_640x640_20250219_model_onnx	ONR-OD-9204-yolov9-s-lite-mmdet-coco-640x640
101	od-9205	onnxrt	detection	coco	yolov9_s_coco_plus_640x640_20250219_model.onnx	640	accuracy_ap[.5:.95]%	41.489513	33.677629	40	70	od-9205_onnxrt_coco_edgeai-mmdet_yolov9_s_coco_plus_640x640_20250219_model_onnx	ONR-OD-9205-yolov9-s-plus-mmdet-coco-640x640
36	ss-2580	tflitert	segmentation	ade20k32	deeplabv3_mnv2_ade20k32_float.tflite	512x512	accuracy_mean_iou%	36.139593	36.208528	54.8	10	ss-2580_tflitert_ade20k32_mlperf_deeplabv3_mnv2_ade20k32_float_tflite	TFL-SS-2580-deeplabv3_mobv2-ade20k32-mlperf-512x512
23	ss-5710	tvmdlr	segmentation	cocoseg21	deeplabv3plus_mobilenetv2_edgeailite_512x512_20210405.onnx	512x512	accuracy_mean_iou%	56.775769	55.972224	57.77	10	ss-5710_tvmdlr_cocoseg21_edgeai-tv_deeplabv3plus_mobilenetv2_edgeailite_512x512_20210405_onnx	TVM-SS-5710-deeplabv3lite-mobv2-cocoseg21-512x512
92	ss-7618	onnxrt	segmentation	ti-robokit_semseg_zed1hd	deeplabv3plus_mnetv2_edgeailite_robokit_768x432_qat-p2.onnx	432x768	accuracy_mean_iou%	48.613202	54.085984	54.1	10	ss-7618_onnxrt_ti-robokit_edgeai-tv_deeplabv3plus_mnetv2_edgeailite_robokit_768x432_qat-p2_onnx	ONR-SS-7618-deeplabv3lite-mobv2-qat-robokit-768x432
63	ss-8610	onnxrt	segmentation	ade20k32	deeplabv3plus_mobilenetv2_edgeailite_512x512_20210308_outby4.onnx	512x512	accuracy_mean_iou%	52.476932	52.097738	51.08	10	ss-8610_onnxrt_ade20k32_edgeai-tv_deeplabv3plus_mobilenetv2_edgeailite_512x512_20210308_outby4_onnx	ONR-SS-8610-deeplabv3lite-mobv2-ade20k32-512x512
87	ss-8630	onnxrt	segmentation	ade20k32	unet_aspp_mobilenetv2_edgeailite_512x512_20210306_outby2.onnx	512x512	accuracy_mean_iou%	51.539077	51.060605	50.07	20	ss-8630_onnxrt_ade20k32_edgeai-tv_unet_aspp_mobilenetv2_edgeailite_512x512_20210306_outby2_onnx	ONR-SS-8630-unetlite-aspp-mobv2-tv-ade20k32-512x512
102	ss-8650	onnxrt	segmentation	ade20k32	fpn_aspp_mobilenetv2_edgeailite_512x512_20210306_outby4.onnx	512x512	accuracy_mean_iou%	52.028058	52.110281	50.55	90	ss-8650_onnxrt_ade20k32_edgeai-tv_fpn_aspp_mobilenetv2_edgeailite_512x512_20210306_outby4_onnx	ONR-SS-8650-fpnlite-aspp-mobv2-ade20k32-512x512
7	ss-8670	onnxrt	segmentation	ade20k32	fpn_aspp_mobilenetv2_1p4_edgeailite_512x512_20210307_outby4.onnx	512x512	accuracy_mean_iou%	54.623614	54.544532	52.9	90	ss-8670_onnxrt_ade20k32_edgeai-tv_fpn_aspp_mobilenetv2_1p4_edgeailite_512x512_20210307_outby4_onnx	ONR-SS-8670-fpnlite-aspp-mobv2-1p4-ade20k32-512x512
39	ss-8690	onnxrt	segmentation	ade20k32	fpn_aspp_regnetx400mf_edgeailite_384x384_20210314_outby4.onnx	384x384	accuracy_mean_iou%	52.193811	51.985884	50.85	90	ss-8690_onnxrt_ade20k32_edgeai-tv_fpn_aspp_regnetx400mf_edgeailite_384x384_20210314_outby4_onnx	ONR-SS-8690-fpnlite-aspp-regnetx400mf-ade20k32-384x384
44	ss-8700	onnxrt	segmentation	ade20k32	fpn_aspp_regnetx800mf_edgeailite_512x512_20210312_outby4.onnx	512x512	accuracy_mean_iou%	54.826099	54.547914	53.16	90	ss-8700_onnxrt_ade20k32_edgeai-tv_fpn_aspp_regnetx800mf_edgeailite_512x512_20210312_outby4_onnx	ONR-SS-8700-fpnlite-aspp-regnetx800mf-ade20k32-512x512
78	ss-8710	onnxrt	segmentation	cocoseg21	deeplabv3plus_mobilenetv2_edgeailite_512x512_20210405.onnx	512x512	accuracy_mean_iou%	56.749442	57.026106	57.77	20	ss-8710_onnxrt_cocoseg21_edgeai-tv_deeplabv3plus_mobilenetv2_edgeailite_512x512_20210405_onnx	ONR-SS-8710-deeplabv3lite-mobv2-cocoseg21-512x512
50	ss-8720	onnxrt	segmentation	cocoseg21	fpn_aspp_regnetx800mf_edgeailite_512x512_20210405.onnx	512x512	accuracy_mean_iou%	60.908204	61.570159	61.09	20	ss-8720_onnxrt_cocoseg21_edgeai-tv_fpn_aspp_regnetx800mf_edgeailite_512x512_20210405_onnx	ONR-SS-8720-deeplabv3lite-regnetx800mf-cocoseg21-512x512
38	ss-8730	onnxrt	segmentation	cocoseg21	deeplabv3_mobilenet_v3_large_lite_512x512_20210527.onnx	512x512	accuracy_mean_iou%	62.727373	62.473769	60.8	90	ss-8730_onnxrt_cocoseg21_edgeai-tv_deeplabv3_mobilenet_v3_large_lite_512x512_20210527_onnx	ONR-SS-8730-deeplabv3-mobv3-lite-large-cocoseg21-512x512
97	ss-8740	onnxrt	segmentation	cocoseg21	lraspp_mobilenet_v3_large_lite_512x512_20210527.onnx	512x512	accuracy_mean_iou%	61.102131	60.819503	59.8	40	ss-8740_onnxrt_cocoseg21_edgeai-tv_lraspp_mobilenet_v3_large_lite_512x512_20210527_onnx	ONR-SS-8740-lraspp-mobV3-ti-lite-large-cocoseg21-512x512
49	ss-8750	onnxrt	segmentation	ade20k	segformer_b0_finetuned_ade_512_512_simp.onnx	512x512	accuracy_mean_iou%	32.32184	31.803098	37.4	80	ss-8750_onnxrt_ade20k_hf-transformers_segformer_b0_finetuned_ade_512_512_simp_onnx	ONR-SS-8750-segformerB0-transformer-ade-512x512