NVIDIA
NVIDIA
RT-DETR 2D Warehouse
Model
NVIDIA
NVIDIA
RT-DETR 2D Warehouse

RT-DETR object detection model for 2D warehouse applications

5 Versions
deployable_rn50_v1.0.2Signed
05/27/2026 5:02 AM UTC250.52 MBBatch Size: 1GPU: V100
TAO Toolkit API
KeyValue
sha256_digest{'rtdetr_warehouse_v1.0.2.fp16.onnx': '0a22264542514149bead6e8582499d9758d51e3fde2892d9d2cc378a60426267', 'rtdetr_warehouse_v1.0.2.onnx': '7b57da65ea42d0ed835da7ffee0656a7ba32337402ba8bff3dd1d0dd77b17084'}
endpoints['rtdetr']
format_version0.0.1
model_formatonnx
backbonefalse
tao_version['>=6.25.11']
trainablefalse
trainable_rn50_v1.0.2Signed
05/27/2026 5:02 AM UTC490.58 MBBatch Size: 1GPU: V100
TAO Toolkit API
KeyValue
sha256_digest{'rtdetr_warehouse_v1.0.2.pth': '745f42d0378f915f27c00baca86d788de995475af990aac370340c235bee6377'}
endpoints['rtdetr']
format_version0.0.1
model_formatpth
backbonefalse
tao_version['>=6.25.11']
trainabletrue
deployable_efficientvit_l2_v1.0.1SelectedSigned
02/27/2026 3:51 AM UTC397.1 MBBatch Size: 1GPU: V100
TAO Toolkit API
KeyValue
sha256_digest{'rtdetr_warehouse_v1.0.1.fp16.onnx': '06b02ec6fc127776c94f6943aea3e6e35dd1ae86d5410b45dae1bdedbc727fd0', 'rtdetr_warehouse_v1.0.1.onnx': 'a5ca65e643042efc472b6edb6539e18ec8074931cba8e2fc750b0213e3ff158a'}
endpoints['rtdetr']
format_version0.0.1
model_formatonnx
backbonefalse
tao_version['>=6.25.11']
trainablefalse
deployable_efficientvit_l2_v1.0Signed
02/09/2026 6:17 AM UTC397.59 MBBatch Size: 1GPU: V100
TAO Toolkit API
KeyValue
sha256_digest{'rtdetr_warehouse_v1.0.fp16.onnx': 'b649929551840705527e7791fa46d2ff6f1b6e1797921e17e6471342738c930a', 'rtdetr_warehouse_v1.0.onnx': '8c455b2c86f0f078ce182321e5b273eead961c904002020a8149093af2bf8fd8'}
endpoints['rtdetr']
format_version0.0.1
model_formatonnx
backbonefalse
tao_version['>=6.25.11']
trainablefalse
trainable_efficientvit_l2_v1.0Signed
02/09/2026 6:17 AM UTC775.42 MBBatch Size: 1GPU: V100
TAO Toolkit API
KeyValue
sha256_digest{'rtdetr_warehouse_v1.0.pth': '18c21b12478855e11d7f6012a4386f515465bd47fc013ea452ee76ca3fd7ecdb'}
endpoints['rtdetr']
format_version0.0.1
model_formatpth
backbonefalse
tao_version['>=6.25.11']
trainabletrue

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