Duplicate from valentinafeve/yolos-fashionpedia

Co-authored-by: Valentina Feruere <[email protected]>

.gitattributes

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README.md

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+---
+datasets:
+- detection-datasets/fashionpedia
+language:
+- en
+pipeline_tag: object-detection
+tags:
+- YOLOS
+- Object detection
+---
+
+This is a fine-tunned object detection model for fashion.
+
+For more details of the implementation you can check the source code [here](https://github.com/valntinaf/fine_tunning_YOLOS_for_fashion)
+
+the dataset used for its training is available [here](https://huggingface.co/datasets/detection-datasets/fashionpedia)
+
+this model supports the following categories:
+
+CATS = ['shirt, blouse', 'top, t-shirt, sweatshirt', 'sweater', 'cardigan', 'jacket', 'vest', 'pants', 'shorts', 'skirt', 'coat', 'dress', 'jumpsuit', 'cape', 'glasses', 'hat', 'headband, head covering, hair accessory', 'tie', 'glove', 'watch', 'belt', 'leg warmer', 'tights, stockings', 'sock', 'shoe', 'bag, wallet', 'scarf', 'umbrella', 'hood', 'collar', 'lapel', 'epaulette', 'sleeve', 'pocket', 'neckline', 'buckle', 'zipper', 'applique', 'bead', 'bow', 'flower', 'fringe', 'ribbon', 'rivet', 'ruffle', 'sequin', 'tassel']
+
+
+![image](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*q8TTgxX_gf6vRe5AJN2r4g.png)

config.json

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+{
+  "_name_or_path": "valentinafeve/yolos-fashionpedia",
+  "architectures": [
+    "YolosForObjectDetection"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_loss": false,
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "class_cost": 1,
+  "eos_coefficient": 0.1,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "shirt, blouse",
+    "1": "top, t-shirt, sweatshirt",
+    "2": "sweater",
+    "3": "cardigan",
+    "4": "jacket",
+    "5": "vest",
+    "6": "pants",
+    "7": "shorts",
+    "8": "skirt",
+    "9": "coat",
+    "10": "dress",
+    "11": "jumpsuit",
+    "12": "cape",
+    "13": "glasses",
+    "14": "hat",
+    "15": "headband, head covering, hair accessory",
+    "16": "tie",
+    "17": "glove",
+    "18": "watch",
+    "19": "belt",
+    "20": "leg warmer",
+    "21": "tights, stockings",
+    "22": "sock",
+    "23": "shoe",
+    "24": "bag, wallet",
+    "25": "scarf",
+    "26": "umbrella",
+    "27": "hood",
+    "28": "collar",
+    "29": "lapel",
+    "30": "epaulette",
+    "31": "sleeve",
+    "32": "pocket",
+    "33": "neckline",
+    "34": "buckle",
+    "35": "zipper",
+    "36": "applique",
+    "37": "bead",
+    "38": "bow",
+    "39": "flower",
+    "40": "fringe",
+    "41": "ribbon",
+    "42": "rivet",
+    "43": "ruffle",
+    "44": "sequin",
+    "45": "tassel"
+  },
+  "image_size": [
+    512,
+    864
+  ],
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
+    "applique": 36,
+    "bag, wallet": 24,
+    "bead": 37,
+    "belt": 19,
+    "bow": 38,
+    "buckle": 34,
+    "cape": 12,
+    "cardigan": 3,
+    "coat": 9,
+    "collar": 28,
+    "dress": 10,
+    "epaulette": 30,
+    "flower": 39,
+    "fringe": 40,
+    "glasses": 13,
+    "glove": 17,
+    "hat": 14,
+    "headband, head covering, hair accessory": 15,
+    "hood": 27,
+    "jacket": 4,
+    "jumpsuit": 11,
+    "lapel": 29,
+    "leg warmer": 20,
+    "neckline": 33,
+    "pants": 6,
+    "pocket": 32,
+    "ribbon": 41,
+    "rivet": 42,
+    "ruffle": 43,
+    "scarf": 25,
+    "sequin": 44,
+    "shirt, blouse": 0,
+    "shoe": 23,
+    "shorts": 7,
+    "skirt": 8,
+    "sleeve": 31,
+    "sock": 22,
+    "sweater": 2,
+    "tassel": 45,
+    "tie": 16,
+    "tights, stockings": 21,
+    "top, t-shirt, sweatshirt": 1,
+    "umbrella": 26,
+    "vest": 5,
+    "watch": 18,
+    "zipper": 35
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "yolos",
+  "num_attention_heads": 6,
+  "num_channels": 3,
+  "num_detection_tokens": 100,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.1",
+  "use_mid_position_embeddings": true
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "YolosFeatureExtractor",
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "max_size": 1333,
+  "size": 512
+}

pytorch_model.bin

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