Sync object-detection from metro-analytics-catalog

config.json

@@ -0,0 +1,22 @@
+{
+  "model_type": "object-detection",
+  "library_name": "openvino",
+  "pipeline_tag": "object-detection",
+  "category": "General Object Detection (80-class COCO)",
+  "base_model": "YOLO26 (Ultralytics)",
+  "source_framework": "PyTorch (Ultralytics)",
+  "supported_precisions": [
+    "FP32",
+    "FP16",
+    "INT8"
+  ],
+  "inference_engine": "OpenVINO",
+  "hardware": [
+    "CPU",
+    "GPU",
+    "NPU"
+  ],
+  "detected_classes": "All 80 COCO classes",
+  "hf_repo_id": "Intel/object-detection",
+  "description": "General-purpose object detection use case using YOLO26 INT8 with all 80 COCO classes"
+}

export_and_quantize.sh

@@ -46,6 +46,18 @@ if [[ "${APPROVAL}" != "yes" ]]; then
     echo "Download cancelled by user."
     exit 0
 fi
+
+# Ping the HuggingFace repo to register a tracked download of config.json.
+# This is best-effort: a failure (offline, or before the repo is published)
+# must not stop the export.
+echo "--- Registering HuggingFace download (tracking ping) ---"
+HF_REPO_ID="Intel/object-detection"
+HF_CONFIG_URL="https://huggingface.co/${HF_REPO_ID}/resolve/main/config.json"
+if curl -fsSL -o /dev/null "${HF_CONFIG_URL}"; then
+    echo "Registered HuggingFace download for ${HF_REPO_ID}"
+else
+    echo "WARNING: HuggingFace tracking ping failed (offline?); continuing." >&2
+fi
 echo ""
 echo "--- Downloading sample test image ---"
 if [[ ! -f test.jpg ]]; then