Add RF-DETR Base to Edge Inference Benchmarks

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

config.json

@@ -17,7 +17,8 @@
     "Chronos-2": "chronos-2",
     "MobileViT-Small": "mobilevit-small",
     "all-MiniLM-L6-v2": "all-MiniLM-L6-v2",
-    "paraphrase-multilingual-MiniLM-L12-v2": "paraphrase-multilingual-MiniLM-L12-v2"
+    "paraphrase-multilingual-MiniLM-L12-v2": "paraphrase-multilingual-MiniLM-L12-v2",
+    "RF-DETR-Base": "rf-detr-base"
   },
   "filters": [
     {
@@ -417,7 +418,18 @@
       "experiment_setup": {
         "agx_orin": "Values from the published model-card benchmark card: 'trtexec --fp16' baseline vs Embedl-optimized 'embedl int8', batch 1. Latency derived as 1000/FPS."
       }
+    },
+    "RF-DETR-Base": {
+      "data_file": "data/RF-DETR-Base.csv",
+      "accuracy_url": "https://huggingface.co/embedl/rf-detr-base",
+      "chart": {
+        "default_metric": "ips",
+        "scenarios": []
+      },
+      "default_device": "orin_nano_super",
+      "accuracy_file": "data/acc-RF-DETR-Base.csv",
+      "accuracy_title": "COCO"
     }
   },
   "accuracy_title": "Accuracy"
-}
+}

data/RF-DETR-Base.csv

@@ -0,0 +1,3 @@
+model_family,model,type,batch,device,res,ctx,lat,ips,mem
+RF-DETR-Base,Roboflow/rf-detr-base,image,1,orin_nano_super,560x560,,14.83,67.4,76.83
+RF-DETR-Base,embedl/rf-detr-base-quantized-tensorrt,image,1,orin_nano_super,560x560,,11.77,85,59.18

data/acc-RF-DETR-Base.csv

@@ -0,0 +1,3 @@
+Model,map 50 95,map 50
+Roboflow/rf-detr-base,53.32,72.16
+embedl/rf-detr-base-quantized-tensorrt,52.14,71.26