Model
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Retail Object DetectionDINO (DETR with Improved DeNoising Anchor Boxes) based object detection network to detect retail objects on a checkout counter.
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29 Versions
deployable_retail_object_detection_binary_v2.2.2.3SelectedSigned
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06/27/2024 11:54 PM UTC299.56 MBAccuracy: 95.6Batch Size: 1GPU: V100
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06/27/2024 11:54 PM UTC299.56 MBAccuracy: 93.2Batch Size: 1GPU: V100
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06/27/2024 11:54 PM UTC299.56 MBAccuracy: 82Batch Size: 1GPU: V100
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06/27/2024 11:53 PM UTC204.79 MBAccuracy: 95.6Batch Size: 1GPU: V100
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06/27/2024 11:53 PM UTC204.79 MBAccuracy: 92.1Batch Size: 1GPU: V100
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06/27/2024 11:53 PM UTC204.79 MBAccuracy: 83.4Batch Size: 1GPU: V100
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trainable_retail_object_detection_binary_v2.2.2.3Signed
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06/27/2024 11:53 PM UTC836.84 MBAccuracy: 95.6Batch Size: 1GPU: V100
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trainable_retail_object_detection_binary_v2.2.2.2Signed
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06/27/2024 11:52 PM UTC836.84 MBAccuracy: 93.2Batch Size: 1GPU: V100
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trainable_retail_object_detection_binary_v2.2.2.1Signed
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06/27/2024 11:52 PM UTC372.22 MBAccuracy: 82Batch Size: 1GPU: V100
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trainable_retail_object_detection_binary_v2.2.1.3Signed
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06/27/2024 11:52 PM UTC553.25 MBAccuracy: 95.6Batch Size: 1GPU: V100
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