From e5cd3ec33bfaa14eaf037be937b720c394810274 Mon Sep 17 00:00:00 2001
From: jinkun <jinkun@microsoft.com>
Date: Thu, 16 Jul 2026 14:29:43 +0800
Subject: [PATCH] recipe(yolos-fashionpedia): add object detection recipes

---
 examples/recipes/README.md                    |  3 +-
 .../object-detection_fp16_config.json         | 84 +++++++++++++++++++
 .../object-detection_w8a8_config.json         | 82 ++++++++++++++++++
 3 files changed, 168 insertions(+), 1 deletion(-)
 create mode 100644 examples/recipes/valentinafevu_yolos-fashionpedia/object-detection_fp16_config.json
 create mode 100644 examples/recipes/valentinafevu_yolos-fashionpedia/object-detection_w8a8_config.json

diff --git a/examples/recipes/README.md b/examples/recipes/README.md
index 86aa01869..54c0b0cf0 100644
--- a/examples/recipes/README.md
+++ b/examples/recipes/README.md
@@ -14,7 +14,7 @@ Each *(model, task)* includes:
 
 ## Models
 
-Total: **75** (model, task) tuples that pass fp16 eval on all 10 (EP, device) buckets.
+Total: **76** (model, task) tuples that pass fp16 eval on all 10 (EP, device) buckets.
 
 | Model | Task |
 |---|---|
@@ -93,4 +93,5 @@ Total: **75** (model, task) tuples that pass fp16 eval on all 10 (EP, device) bu
 | sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | feature-extraction |
 | sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | sentence-similarity |
 | sentence-transformers/paraphrase-multilingual-mpnet-base-v2 | sentence-similarity |
+| valentinafevu/yolos-fashionpedia | object-detection |
 | w11wo/indonesian-roberta-base-posp-tagger | token-classification |
diff --git a/examples/recipes/valentinafevu_yolos-fashionpedia/object-detection_fp16_config.json b/examples/recipes/valentinafevu_yolos-fashionpedia/object-detection_fp16_config.json
new file mode 100644
index 000000000..0f7c6af81
--- /dev/null
+++ b/examples/recipes/valentinafevu_yolos-fashionpedia/object-detection_fp16_config.json
@@ -0,0 +1,84 @@
+{
+  "export": {
+    "opset_version": 17,
+    "batch_size": 1,
+    "export_params": true,
+    "do_constant_folding": true,
+    "verbose": false,
+    "dynamo": false,
+    "enable_hierarchy_tags": true,
+    "clean_onnx": false,
+    "hierarchy_tag_format": "full",
+    "input_tensors": [
+      {
+        "name": "pixel_values",
+        "dtype": "float32",
+        "shape": [
+          1,
+          3,
+          512,
+          864
+        ],
+        "value_range": [
+          0,
+          1
+        ]
+      }
+    ],
+    "output_tensors": [
+      {
+        "name": "logits"
+      },
+      {
+        "name": "pred_boxes"
+      }
+    ]
+  },
+  "optim": {},
+  "quant": {
+    "mode": "fp16",
+    "samples": 10,
+    "calibration_method": "minmax",
+    "weight_type": "uint8",
+    "activation_type": "uint8",
+    "per_channel": false,
+    "symmetric": false,
+    "weight_symmetric": null,
+    "activation_symmetric": null,
+    "save_calibration": false,
+    "distribution": "uniform",
+    "seed": null,
+    "calibration_load_path": null,
+    "calibration_save_path": null,
+    "op_types_to_quantize": null,
+    "nodes_to_exclude": null,
+    "task": "object-detection",
+    "model_id": "valentinafevu/yolos-fashionpedia",
+    "model_type": "yolos",
+    "fp16_keep_io_types": true,
+    "fp16_op_block_list": null
+  },
+  "compile": null,
+  "loader": {
+    "task": "object-detection",
+    "model_class": "AutoModelForObjectDetection",
+    "model_type": "yolos"
+  },
+  "eval": {
+    "task": "object-detection",
+    "dataset": {
+      "path": "detection-datasets/fashionpedia",
+      "split": "val",
+      "samples": 100,
+      "shuffle": true,
+      "seed": 42,
+      "columns_mapping": {
+        "annotation_column": "objects",
+        "bbox_key": "bbox",
+        "category_key": "category",
+        "box_format": "xyxy",
+        "box_coords": "absolute"
+      }
+    }
+  }
+}
diff --git a/examples/recipes/valentinafevu_yolos-fashionpedia/object-detection_w8a8_config.json b/examples/recipes/valentinafevu_yolos-fashionpedia/object-detection_w8a8_config.json
new file mode 100644
index 000000000..4788b9b1e
--- /dev/null
+++ b/examples/recipes/valentinafevu_yolos-fashionpedia/object-detection_w8a8_config.json
@@ -0,0 +1,82 @@
+{
+  "export": {
+    "opset_version": 17,
+    "batch_size": 1,
+    "export_params": true,
+    "do_constant_folding": true,
+    "verbose": false,
+    "dynamo": false,
+    "enable_hierarchy_tags": true,
+    "clean_onnx": false,
+    "hierarchy_tag_format": "full",
+    "input_tensors": [
+      {
+        "name": "pixel_values",
+        "dtype": "float32",
+        "shape": [
+          1,
+          3,
+          512,
+          864
+        ],
+        "value_range": [
+          0,
+          1
+        ]
+      }
+    ],
+    "output_tensors": [
+      {
+        "name": "logits"
+      },
+      {
+        "name": "pred_boxes"
+      }
+    ]
+  },
+  "optim": {},
+  "quant": {
+    "mode": "static",
+    "samples": 10,
+    "calibration_method": "minmax",
+    "weight_type": "uint8",
+    "activation_type": "uint8",
+    "per_channel": false,
+    "symmetric": false,
+    "weight_symmetric": null,
+    "activation_symmetric": null,
+    "save_calibration": false,
+    "distribution": "uniform",
+    "seed": null,
+    "calibration_load_path": null,
+    "calibration_save_path": null,
+    "op_types_to_quantize": null,
+    "nodes_to_exclude": null,
+    "task": "object-detection",
+    "model_id": "valentinafevu/yolos-fashionpedia",
+    "model_type": "yolos"
+  },
+  "compile": null,
+  "loader": {
+    "task": "object-detection",
+    "model_class": "AutoModelForObjectDetection",
+    "model_type": "yolos"
+  },
+  "eval": {
+    "task": "object-detection",
+    "dataset": {
+      "path": "detection-datasets/fashionpedia",
+      "split": "val",
+      "samples": 500,
+      "shuffle": true,
+      "seed": 42,
+      "columns_mapping": {
+        "annotation_column": "objects",
+        "bbox_key": "bbox",
+        "category_key": "category",
+        "box_format": "xyxy",
+        "box_coords": "absolute"
+      }
+    }
+  }
+}