Image Classification
Transformers
clip_multitask_classifier
clip
fashion
computer-vision
multi-task-learning
product-attribute-extraction
autocatalogai
Instructions to use mohsin416/autocatalogai-clip-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohsin416/autocatalogai-clip-multitask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mohsin416/autocatalogai-clip-multitask") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mohsin416/autocatalogai-clip-multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +64 -0
- config.json +33 -0
- history.json +127 -0
- label_maps.json +556 -0
- metrics.json +56 -0
- model.pt +3 -0
README.md
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
pipeline_tag: image-classification
|
| 4 |
+
tags:
|
| 5 |
+
- clip
|
| 6 |
+
- fashion
|
| 7 |
+
- computer-vision
|
| 8 |
+
- multi-task-learning
|
| 9 |
+
- product-attribute-extraction
|
| 10 |
+
- autocatalogai
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# AutoCatalogAI CLIP Multi-Task Classifier
|
| 14 |
+
|
| 15 |
+
AutoCatalogAI is a fashion product attribute extraction model.
|
| 16 |
+
|
| 17 |
+
It predicts:
|
| 18 |
+
|
| 19 |
+
['gender', 'masterCategory', 'subCategory', 'articleType', 'baseColour', 'season', 'usage']
|
| 20 |
+
|
| 21 |
+
## Dataset
|
| 22 |
+
|
| 23 |
+
Dataset: `ashraq/fashion-product-images-small`
|
| 24 |
+
|
| 25 |
+
Split:
|
| 26 |
+
|
| 27 |
+
- Train: 70%
|
| 28 |
+
- Validation: 15%
|
| 29 |
+
- Test: 15%
|
| 30 |
+
|
| 31 |
+
## Base Model
|
| 32 |
+
|
| 33 |
+
`openai/clip-vit-base-patch32`
|
| 34 |
+
|
| 35 |
+
## Architecture
|
| 36 |
+
|
| 37 |
+
CLIP image encoder + multiple classification heads.
|
| 38 |
+
|
| 39 |
+
## Overall Test Metrics
|
| 40 |
+
|
| 41 |
+
```json
|
| 42 |
+
{
|
| 43 |
+
"average_accuracy": 0.8335026038852995,
|
| 44 |
+
"average_macro_f1": 0.6568447666058456,
|
| 45 |
+
"average_weighted_f1": 0.8421526081109854,
|
| 46 |
+
"average_top3_accuracy": 0.9711087581303888,
|
| 47 |
+
"exact_match_accuracy": 0.27938284677053393,
|
| 48 |
+
"avg_inference_time_ms_per_image": 1.5960319117829298,
|
| 49 |
+
"p95_inference_time_ms_per_image": 1.4948196709156036,
|
| 50 |
+
"test_samples": 6611
|
| 51 |
+
}
|
| 52 |
+
```
|
| 53 |
+
|
| 54 |
+
## Important
|
| 55 |
+
|
| 56 |
+
This model should be loaded with the AutoCatalogAI project code because it contains custom multi-task classifier heads.
|
| 57 |
+
|
| 58 |
+
Expected files:
|
| 59 |
+
|
| 60 |
+
- `model.pt`
|
| 61 |
+
- `config.json`
|
| 62 |
+
- `label_maps.json`
|
| 63 |
+
- `metrics.json`
|
| 64 |
+
- `README.md`
|
config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"project_name": "AutoCatalogAI",
|
| 3 |
+
"dataset_name": "ashraq/fashion-product-images-small",
|
| 4 |
+
"base_model_name": "openai/clip-vit-base-patch32",
|
| 5 |
+
"model_type": "clip_multitask_classifier",
|
| 6 |
+
"tasks": [
|
| 7 |
+
"gender",
|
| 8 |
+
"masterCategory",
|
| 9 |
+
"subCategory",
|
| 10 |
+
"articleType",
|
| 11 |
+
"baseColour",
|
| 12 |
+
"season",
|
| 13 |
+
"usage"
|
| 14 |
+
],
|
| 15 |
+
"task_num_classes": {
|
| 16 |
+
"gender": 5,
|
| 17 |
+
"masterCategory": 7,
|
| 18 |
+
"subCategory": 45,
|
| 19 |
+
"articleType": 141,
|
| 20 |
+
"baseColour": 46,
|
| 21 |
+
"season": 4,
|
| 22 |
+
"usage": 8
|
| 23 |
+
},
|
| 24 |
+
"hidden_dim": 512,
|
| 25 |
+
"dropout": 0.2,
|
| 26 |
+
"unfreeze_last_n_vision_layers": 2,
|
| 27 |
+
"image_size": 224,
|
| 28 |
+
"train_ratio": 0.7,
|
| 29 |
+
"validation_ratio": 0.15,
|
| 30 |
+
"test_ratio": 0.15,
|
| 31 |
+
"best_epoch": 4,
|
| 32 |
+
"best_val_loss": 4.497780916771451
|
| 33 |
+
}
|
history.json
ADDED
|
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"epoch": 1,
|
| 4 |
+
"train_loss": 9.432052525584561,
|
| 5 |
+
"val_loss": 5.63392734642766,
|
| 6 |
+
"train_acc": {
|
| 7 |
+
"gender": 0.771729274611399,
|
| 8 |
+
"masterCategory": 0.9251295336787565,
|
| 9 |
+
"subCategory": 0.7585492227979275,
|
| 10 |
+
"articleType": 0.6095531088082902,
|
| 11 |
+
"baseColour": 0.35518134715025906,
|
| 12 |
+
"season": 0.5852007772020725,
|
| 13 |
+
"usage": 0.7349417098445595
|
| 14 |
+
},
|
| 15 |
+
"val_acc": {
|
| 16 |
+
"gender": 0.8417794940249174,
|
| 17 |
+
"masterCategory": 0.9820350241545893,
|
| 18 |
+
"subCategory": 0.9260265700483091,
|
| 19 |
+
"articleType": 0.7716755657259089,
|
| 20 |
+
"baseColour": 0.5580981439105009,
|
| 21 |
+
"season": 0.6431397787948132,
|
| 22 |
+
"usage": 0.7978006610729723
|
| 23 |
+
},
|
| 24 |
+
"avg_train_acc": 0.6771835677276091,
|
| 25 |
+
"avg_val_acc": 0.7886507482474301
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 2,
|
| 29 |
+
"train_loss": 4.5827552318573,
|
| 30 |
+
"val_loss": 4.7799444958783575,
|
| 31 |
+
"train_acc": {
|
| 32 |
+
"gender": 0.8623704663212435,
|
| 33 |
+
"masterCategory": 0.9847150259067358,
|
| 34 |
+
"subCategory": 0.9139572538860103,
|
| 35 |
+
"articleType": 0.7956930051813471,
|
| 36 |
+
"baseColour": 0.555181347150259,
|
| 37 |
+
"season": 0.6761010362694301,
|
| 38 |
+
"usage": 0.8134391191709844
|
| 39 |
+
},
|
| 40 |
+
"val_acc": {
|
| 41 |
+
"gender": 0.8757468853292651,
|
| 42 |
+
"masterCategory": 0.9769021739130435,
|
| 43 |
+
"subCategory": 0.9274329392321383,
|
| 44 |
+
"articleType": 0.8141050088990592,
|
| 45 |
+
"baseColour": 0.5533069539791508,
|
| 46 |
+
"season": 0.6885329265191965,
|
| 47 |
+
"usage": 0.8391653953724891
|
| 48 |
+
},
|
| 49 |
+
"avg_train_acc": 0.8002081791265729,
|
| 50 |
+
"avg_val_acc": 0.8107417547491919
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 3,
|
| 54 |
+
"train_loss": 3.370936806337821,
|
| 55 |
+
"val_loss": 4.622166495392288,
|
| 56 |
+
"train_acc": {
|
| 57 |
+
"gender": 0.8881800518134715,
|
| 58 |
+
"masterCategory": 0.9912564766839378,
|
| 59 |
+
"subCategory": 0.9370142487046632,
|
| 60 |
+
"articleType": 0.8315414507772021,
|
| 61 |
+
"baseColour": 0.6044689119170984,
|
| 62 |
+
"season": 0.7088082901554404,
|
| 63 |
+
"usage": 0.8428432642487047
|
| 64 |
+
},
|
| 65 |
+
"val_acc": {
|
| 66 |
+
"gender": 0.8746424485125858,
|
| 67 |
+
"masterCategory": 0.9938103864734299,
|
| 68 |
+
"subCategory": 0.9453979150775489,
|
| 69 |
+
"articleType": 0.8184830282227308,
|
| 70 |
+
"baseColour": 0.599002034070684,
|
| 71 |
+
"season": 0.717820366132723,
|
| 72 |
+
"usage": 0.8351369819476226
|
| 73 |
+
},
|
| 74 |
+
"avg_train_acc": 0.8291589563286454,
|
| 75 |
+
"avg_val_acc": 0.8263275943481894
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 4,
|
| 79 |
+
"train_loss": 2.6022005854492978,
|
| 80 |
+
"val_loss": 4.497780916771451,
|
| 81 |
+
"train_acc": {
|
| 82 |
+
"gender": 0.9083225388601036,
|
| 83 |
+
"masterCategory": 0.9950453367875648,
|
| 84 |
+
"subCategory": 0.9501619170984456,
|
| 85 |
+
"articleType": 0.8564443005181347,
|
| 86 |
+
"baseColour": 0.6356217616580311,
|
| 87 |
+
"season": 0.741062176165803,
|
| 88 |
+
"usage": 0.867389896373057
|
| 89 |
+
},
|
| 90 |
+
"val_acc": {
|
| 91 |
+
"gender": 0.884455250444953,
|
| 92 |
+
"masterCategory": 0.9941123188405797,
|
| 93 |
+
"subCategory": 0.947813374014747,
|
| 94 |
+
"articleType": 0.8485252987541317,
|
| 95 |
+
"baseColour": 0.6131928553267226,
|
| 96 |
+
"season": 0.7170178616831935,
|
| 97 |
+
"usage": 0.8717740910246631
|
| 98 |
+
},
|
| 99 |
+
"avg_train_acc": 0.8505782753515915,
|
| 100 |
+
"avg_val_acc": 0.8395558642984272
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 5,
|
| 104 |
+
"train_loss": 2.2021738547117597,
|
| 105 |
+
"val_loss": 4.508289864097816,
|
| 106 |
+
"train_acc": {
|
| 107 |
+
"gender": 0.9151554404145078,
|
| 108 |
+
"masterCategory": 0.9965673575129533,
|
| 109 |
+
"subCategory": 0.9587435233160622,
|
| 110 |
+
"articleType": 0.8702720207253886,
|
| 111 |
+
"baseColour": 0.6543069948186528,
|
| 112 |
+
"season": 0.760071243523316,
|
| 113 |
+
"usage": 0.8798575129533679
|
| 114 |
+
},
|
| 115 |
+
"val_acc": {
|
| 116 |
+
"gender": 0.8894371345029239,
|
| 117 |
+
"masterCategory": 0.9932065217391305,
|
| 118 |
+
"subCategory": 0.9475114416475973,
|
| 119 |
+
"articleType": 0.8495820620391559,
|
| 120 |
+
"baseColour": 0.6156559877955758,
|
| 121 |
+
"season": 0.7180746249682176,
|
| 122 |
+
"usage": 0.874690122044241
|
| 123 |
+
},
|
| 124 |
+
"avg_train_acc": 0.862139156180607,
|
| 125 |
+
"avg_val_acc": 0.8411654135338343
|
| 126 |
+
}
|
| 127 |
+
]
|
label_maps.json
ADDED
|
@@ -0,0 +1,556 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"gender": {
|
| 3 |
+
"label2id": {
|
| 4 |
+
"Boys": 0,
|
| 5 |
+
"Girls": 1,
|
| 6 |
+
"Men": 2,
|
| 7 |
+
"Unisex": 3,
|
| 8 |
+
"Women": 4
|
| 9 |
+
},
|
| 10 |
+
"id2label": {
|
| 11 |
+
"0": "Boys",
|
| 12 |
+
"1": "Girls",
|
| 13 |
+
"2": "Men",
|
| 14 |
+
"3": "Unisex",
|
| 15 |
+
"4": "Women"
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
"masterCategory": {
|
| 19 |
+
"label2id": {
|
| 20 |
+
"Accessories": 0,
|
| 21 |
+
"Apparel": 1,
|
| 22 |
+
"Footwear": 2,
|
| 23 |
+
"Free Items": 3,
|
| 24 |
+
"Home": 4,
|
| 25 |
+
"Personal Care": 5,
|
| 26 |
+
"Sporting Goods": 6
|
| 27 |
+
},
|
| 28 |
+
"id2label": {
|
| 29 |
+
"0": "Accessories",
|
| 30 |
+
"1": "Apparel",
|
| 31 |
+
"2": "Footwear",
|
| 32 |
+
"3": "Free Items",
|
| 33 |
+
"4": "Home",
|
| 34 |
+
"5": "Personal Care",
|
| 35 |
+
"6": "Sporting Goods"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"subCategory": {
|
| 39 |
+
"label2id": {
|
| 40 |
+
"Accessories": 0,
|
| 41 |
+
"Apparel Set": 1,
|
| 42 |
+
"Bags": 2,
|
| 43 |
+
"Bath and Body": 3,
|
| 44 |
+
"Beauty Accessories": 4,
|
| 45 |
+
"Belts": 5,
|
| 46 |
+
"Bottomwear": 6,
|
| 47 |
+
"Cufflinks": 7,
|
| 48 |
+
"Dress": 8,
|
| 49 |
+
"Eyes": 9,
|
| 50 |
+
"Eyewear": 10,
|
| 51 |
+
"Flip Flops": 11,
|
| 52 |
+
"Fragrance": 12,
|
| 53 |
+
"Free Gifts": 13,
|
| 54 |
+
"Gloves": 14,
|
| 55 |
+
"Hair": 15,
|
| 56 |
+
"Headwear": 16,
|
| 57 |
+
"Home Furnishing": 17,
|
| 58 |
+
"Innerwear": 18,
|
| 59 |
+
"Jewellery": 19,
|
| 60 |
+
"Lips": 20,
|
| 61 |
+
"Loungewear and Nightwear": 21,
|
| 62 |
+
"Makeup": 22,
|
| 63 |
+
"Mufflers": 23,
|
| 64 |
+
"Nails": 24,
|
| 65 |
+
"Perfumes": 25,
|
| 66 |
+
"Sandal": 26,
|
| 67 |
+
"Saree": 27,
|
| 68 |
+
"Scarves": 28,
|
| 69 |
+
"Shoe Accessories": 29,
|
| 70 |
+
"Shoes": 30,
|
| 71 |
+
"Skin": 31,
|
| 72 |
+
"Skin Care": 32,
|
| 73 |
+
"Socks": 33,
|
| 74 |
+
"Sports Accessories": 34,
|
| 75 |
+
"Sports Equipment": 35,
|
| 76 |
+
"Stoles": 36,
|
| 77 |
+
"Ties": 37,
|
| 78 |
+
"Topwear": 38,
|
| 79 |
+
"Umbrellas": 39,
|
| 80 |
+
"Vouchers": 40,
|
| 81 |
+
"Wallets": 41,
|
| 82 |
+
"Watches": 42,
|
| 83 |
+
"Water Bottle": 43,
|
| 84 |
+
"Wristbands": 44
|
| 85 |
+
},
|
| 86 |
+
"id2label": {
|
| 87 |
+
"0": "Accessories",
|
| 88 |
+
"1": "Apparel Set",
|
| 89 |
+
"2": "Bags",
|
| 90 |
+
"3": "Bath and Body",
|
| 91 |
+
"4": "Beauty Accessories",
|
| 92 |
+
"5": "Belts",
|
| 93 |
+
"6": "Bottomwear",
|
| 94 |
+
"7": "Cufflinks",
|
| 95 |
+
"8": "Dress",
|
| 96 |
+
"9": "Eyes",
|
| 97 |
+
"10": "Eyewear",
|
| 98 |
+
"11": "Flip Flops",
|
| 99 |
+
"12": "Fragrance",
|
| 100 |
+
"13": "Free Gifts",
|
| 101 |
+
"14": "Gloves",
|
| 102 |
+
"15": "Hair",
|
| 103 |
+
"16": "Headwear",
|
| 104 |
+
"17": "Home Furnishing",
|
| 105 |
+
"18": "Innerwear",
|
| 106 |
+
"19": "Jewellery",
|
| 107 |
+
"20": "Lips",
|
| 108 |
+
"21": "Loungewear and Nightwear",
|
| 109 |
+
"22": "Makeup",
|
| 110 |
+
"23": "Mufflers",
|
| 111 |
+
"24": "Nails",
|
| 112 |
+
"25": "Perfumes",
|
| 113 |
+
"26": "Sandal",
|
| 114 |
+
"27": "Saree",
|
| 115 |
+
"28": "Scarves",
|
| 116 |
+
"29": "Shoe Accessories",
|
| 117 |
+
"30": "Shoes",
|
| 118 |
+
"31": "Skin",
|
| 119 |
+
"32": "Skin Care",
|
| 120 |
+
"33": "Socks",
|
| 121 |
+
"34": "Sports Accessories",
|
| 122 |
+
"35": "Sports Equipment",
|
| 123 |
+
"36": "Stoles",
|
| 124 |
+
"37": "Ties",
|
| 125 |
+
"38": "Topwear",
|
| 126 |
+
"39": "Umbrellas",
|
| 127 |
+
"40": "Vouchers",
|
| 128 |
+
"41": "Wallets",
|
| 129 |
+
"42": "Watches",
|
| 130 |
+
"43": "Water Bottle",
|
| 131 |
+
"44": "Wristbands"
|
| 132 |
+
}
|
| 133 |
+
},
|
| 134 |
+
"articleType": {
|
| 135 |
+
"label2id": {
|
| 136 |
+
"Accessory Gift Set": 0,
|
| 137 |
+
"Baby Dolls": 1,
|
| 138 |
+
"Backpacks": 2,
|
| 139 |
+
"Bangle": 3,
|
| 140 |
+
"Basketballs": 4,
|
| 141 |
+
"Bath Robe": 5,
|
| 142 |
+
"Beauty Accessory": 6,
|
| 143 |
+
"Belts": 7,
|
| 144 |
+
"Blazers": 8,
|
| 145 |
+
"Body Lotion": 9,
|
| 146 |
+
"Body Wash and Scrub": 10,
|
| 147 |
+
"Booties": 11,
|
| 148 |
+
"Boxers": 12,
|
| 149 |
+
"Bra": 13,
|
| 150 |
+
"Bracelet": 14,
|
| 151 |
+
"Briefs": 15,
|
| 152 |
+
"Camisoles": 16,
|
| 153 |
+
"Capris": 17,
|
| 154 |
+
"Caps": 18,
|
| 155 |
+
"Casual Shoes": 19,
|
| 156 |
+
"Churidar": 20,
|
| 157 |
+
"Clothing Set": 21,
|
| 158 |
+
"Clutches": 22,
|
| 159 |
+
"Compact": 23,
|
| 160 |
+
"Concealer": 24,
|
| 161 |
+
"Cufflinks": 25,
|
| 162 |
+
"Cushion Covers": 26,
|
| 163 |
+
"Deodorant": 27,
|
| 164 |
+
"Dresses": 28,
|
| 165 |
+
"Duffel Bag": 29,
|
| 166 |
+
"Dupatta": 30,
|
| 167 |
+
"Earrings": 31,
|
| 168 |
+
"Eye Cream": 32,
|
| 169 |
+
"Eyeshadow": 33,
|
| 170 |
+
"Face Moisturisers": 34,
|
| 171 |
+
"Face Scrub and Exfoliator": 35,
|
| 172 |
+
"Face Serum and Gel": 36,
|
| 173 |
+
"Face Wash and Cleanser": 37,
|
| 174 |
+
"Flats": 38,
|
| 175 |
+
"Flip Flops": 39,
|
| 176 |
+
"Footballs": 40,
|
| 177 |
+
"Formal Shoes": 41,
|
| 178 |
+
"Foundation and Primer": 42,
|
| 179 |
+
"Fragrance Gift Set": 43,
|
| 180 |
+
"Free Gifts": 44,
|
| 181 |
+
"Gloves": 45,
|
| 182 |
+
"Hair Accessory": 46,
|
| 183 |
+
"Hair Colour": 47,
|
| 184 |
+
"Handbags": 48,
|
| 185 |
+
"Hat": 49,
|
| 186 |
+
"Headband": 50,
|
| 187 |
+
"Heels": 51,
|
| 188 |
+
"Highlighter and Blush": 52,
|
| 189 |
+
"Innerwear Vests": 53,
|
| 190 |
+
"Ipad": 54,
|
| 191 |
+
"Jackets": 55,
|
| 192 |
+
"Jeans": 56,
|
| 193 |
+
"Jeggings": 57,
|
| 194 |
+
"Jewellery Set": 58,
|
| 195 |
+
"Jumpsuit": 59,
|
| 196 |
+
"Kajal and Eyeliner": 60,
|
| 197 |
+
"Key chain": 61,
|
| 198 |
+
"Kurta Sets": 62,
|
| 199 |
+
"Kurtas": 63,
|
| 200 |
+
"Kurtis": 64,
|
| 201 |
+
"Laptop Bag": 65,
|
| 202 |
+
"Leggings": 66,
|
| 203 |
+
"Lehenga Choli": 67,
|
| 204 |
+
"Lip Care": 68,
|
| 205 |
+
"Lip Gloss": 69,
|
| 206 |
+
"Lip Liner": 70,
|
| 207 |
+
"Lip Plumper": 71,
|
| 208 |
+
"Lipstick": 72,
|
| 209 |
+
"Lounge Pants": 73,
|
| 210 |
+
"Lounge Shorts": 74,
|
| 211 |
+
"Lounge Tshirts": 75,
|
| 212 |
+
"Makeup Remover": 76,
|
| 213 |
+
"Mascara": 77,
|
| 214 |
+
"Mask and Peel": 78,
|
| 215 |
+
"Mens Grooming Kit": 79,
|
| 216 |
+
"Messenger Bag": 80,
|
| 217 |
+
"Mobile Pouch": 81,
|
| 218 |
+
"Mufflers": 82,
|
| 219 |
+
"Nail Essentials": 83,
|
| 220 |
+
"Nail Polish": 84,
|
| 221 |
+
"Necklace and Chains": 85,
|
| 222 |
+
"Nehru Jackets": 86,
|
| 223 |
+
"Night suits": 87,
|
| 224 |
+
"Nightdress": 88,
|
| 225 |
+
"Patiala": 89,
|
| 226 |
+
"Pendant": 90,
|
| 227 |
+
"Perfume and Body Mist": 91,
|
| 228 |
+
"Rain Jacket": 92,
|
| 229 |
+
"Ring": 93,
|
| 230 |
+
"Robe": 94,
|
| 231 |
+
"Rompers": 95,
|
| 232 |
+
"Rucksacks": 96,
|
| 233 |
+
"Salwar": 97,
|
| 234 |
+
"Salwar and Dupatta": 98,
|
| 235 |
+
"Sandals": 99,
|
| 236 |
+
"Sarees": 100,
|
| 237 |
+
"Scarves": 101,
|
| 238 |
+
"Shapewear": 102,
|
| 239 |
+
"Shirts": 103,
|
| 240 |
+
"Shoe Accessories": 104,
|
| 241 |
+
"Shoe Laces": 105,
|
| 242 |
+
"Shorts": 106,
|
| 243 |
+
"Shrug": 107,
|
| 244 |
+
"Skirts": 108,
|
| 245 |
+
"Socks": 109,
|
| 246 |
+
"Sports Sandals": 110,
|
| 247 |
+
"Sports Shoes": 111,
|
| 248 |
+
"Stockings": 112,
|
| 249 |
+
"Stoles": 113,
|
| 250 |
+
"Sunglasses": 114,
|
| 251 |
+
"Sunscreen": 115,
|
| 252 |
+
"Suspenders": 116,
|
| 253 |
+
"Sweaters": 117,
|
| 254 |
+
"Sweatshirts": 118,
|
| 255 |
+
"Swimwear": 119,
|
| 256 |
+
"Tablet Sleeve": 120,
|
| 257 |
+
"Ties": 121,
|
| 258 |
+
"Ties and Cufflinks": 122,
|
| 259 |
+
"Tights": 123,
|
| 260 |
+
"Toner": 124,
|
| 261 |
+
"Tops": 125,
|
| 262 |
+
"Track Pants": 126,
|
| 263 |
+
"Tracksuits": 127,
|
| 264 |
+
"Travel Accessory": 128,
|
| 265 |
+
"Trolley Bag": 129,
|
| 266 |
+
"Trousers": 130,
|
| 267 |
+
"Trunk": 131,
|
| 268 |
+
"Tshirts": 132,
|
| 269 |
+
"Tunics": 133,
|
| 270 |
+
"Umbrellas": 134,
|
| 271 |
+
"Waist Pouch": 135,
|
| 272 |
+
"Waistcoat": 136,
|
| 273 |
+
"Wallets": 137,
|
| 274 |
+
"Watches": 138,
|
| 275 |
+
"Water Bottle": 139,
|
| 276 |
+
"Wristbands": 140
|
| 277 |
+
},
|
| 278 |
+
"id2label": {
|
| 279 |
+
"0": "Accessory Gift Set",
|
| 280 |
+
"1": "Baby Dolls",
|
| 281 |
+
"2": "Backpacks",
|
| 282 |
+
"3": "Bangle",
|
| 283 |
+
"4": "Basketballs",
|
| 284 |
+
"5": "Bath Robe",
|
| 285 |
+
"6": "Beauty Accessory",
|
| 286 |
+
"7": "Belts",
|
| 287 |
+
"8": "Blazers",
|
| 288 |
+
"9": "Body Lotion",
|
| 289 |
+
"10": "Body Wash and Scrub",
|
| 290 |
+
"11": "Booties",
|
| 291 |
+
"12": "Boxers",
|
| 292 |
+
"13": "Bra",
|
| 293 |
+
"14": "Bracelet",
|
| 294 |
+
"15": "Briefs",
|
| 295 |
+
"16": "Camisoles",
|
| 296 |
+
"17": "Capris",
|
| 297 |
+
"18": "Caps",
|
| 298 |
+
"19": "Casual Shoes",
|
| 299 |
+
"20": "Churidar",
|
| 300 |
+
"21": "Clothing Set",
|
| 301 |
+
"22": "Clutches",
|
| 302 |
+
"23": "Compact",
|
| 303 |
+
"24": "Concealer",
|
| 304 |
+
"25": "Cufflinks",
|
| 305 |
+
"26": "Cushion Covers",
|
| 306 |
+
"27": "Deodorant",
|
| 307 |
+
"28": "Dresses",
|
| 308 |
+
"29": "Duffel Bag",
|
| 309 |
+
"30": "Dupatta",
|
| 310 |
+
"31": "Earrings",
|
| 311 |
+
"32": "Eye Cream",
|
| 312 |
+
"33": "Eyeshadow",
|
| 313 |
+
"34": "Face Moisturisers",
|
| 314 |
+
"35": "Face Scrub and Exfoliator",
|
| 315 |
+
"36": "Face Serum and Gel",
|
| 316 |
+
"37": "Face Wash and Cleanser",
|
| 317 |
+
"38": "Flats",
|
| 318 |
+
"39": "Flip Flops",
|
| 319 |
+
"40": "Footballs",
|
| 320 |
+
"41": "Formal Shoes",
|
| 321 |
+
"42": "Foundation and Primer",
|
| 322 |
+
"43": "Fragrance Gift Set",
|
| 323 |
+
"44": "Free Gifts",
|
| 324 |
+
"45": "Gloves",
|
| 325 |
+
"46": "Hair Accessory",
|
| 326 |
+
"47": "Hair Colour",
|
| 327 |
+
"48": "Handbags",
|
| 328 |
+
"49": "Hat",
|
| 329 |
+
"50": "Headband",
|
| 330 |
+
"51": "Heels",
|
| 331 |
+
"52": "Highlighter and Blush",
|
| 332 |
+
"53": "Innerwear Vests",
|
| 333 |
+
"54": "Ipad",
|
| 334 |
+
"55": "Jackets",
|
| 335 |
+
"56": "Jeans",
|
| 336 |
+
"57": "Jeggings",
|
| 337 |
+
"58": "Jewellery Set",
|
| 338 |
+
"59": "Jumpsuit",
|
| 339 |
+
"60": "Kajal and Eyeliner",
|
| 340 |
+
"61": "Key chain",
|
| 341 |
+
"62": "Kurta Sets",
|
| 342 |
+
"63": "Kurtas",
|
| 343 |
+
"64": "Kurtis",
|
| 344 |
+
"65": "Laptop Bag",
|
| 345 |
+
"66": "Leggings",
|
| 346 |
+
"67": "Lehenga Choli",
|
| 347 |
+
"68": "Lip Care",
|
| 348 |
+
"69": "Lip Gloss",
|
| 349 |
+
"70": "Lip Liner",
|
| 350 |
+
"71": "Lip Plumper",
|
| 351 |
+
"72": "Lipstick",
|
| 352 |
+
"73": "Lounge Pants",
|
| 353 |
+
"74": "Lounge Shorts",
|
| 354 |
+
"75": "Lounge Tshirts",
|
| 355 |
+
"76": "Makeup Remover",
|
| 356 |
+
"77": "Mascara",
|
| 357 |
+
"78": "Mask and Peel",
|
| 358 |
+
"79": "Mens Grooming Kit",
|
| 359 |
+
"80": "Messenger Bag",
|
| 360 |
+
"81": "Mobile Pouch",
|
| 361 |
+
"82": "Mufflers",
|
| 362 |
+
"83": "Nail Essentials",
|
| 363 |
+
"84": "Nail Polish",
|
| 364 |
+
"85": "Necklace and Chains",
|
| 365 |
+
"86": "Nehru Jackets",
|
| 366 |
+
"87": "Night suits",
|
| 367 |
+
"88": "Nightdress",
|
| 368 |
+
"89": "Patiala",
|
| 369 |
+
"90": "Pendant",
|
| 370 |
+
"91": "Perfume and Body Mist",
|
| 371 |
+
"92": "Rain Jacket",
|
| 372 |
+
"93": "Ring",
|
| 373 |
+
"94": "Robe",
|
| 374 |
+
"95": "Rompers",
|
| 375 |
+
"96": "Rucksacks",
|
| 376 |
+
"97": "Salwar",
|
| 377 |
+
"98": "Salwar and Dupatta",
|
| 378 |
+
"99": "Sandals",
|
| 379 |
+
"100": "Sarees",
|
| 380 |
+
"101": "Scarves",
|
| 381 |
+
"102": "Shapewear",
|
| 382 |
+
"103": "Shirts",
|
| 383 |
+
"104": "Shoe Accessories",
|
| 384 |
+
"105": "Shoe Laces",
|
| 385 |
+
"106": "Shorts",
|
| 386 |
+
"107": "Shrug",
|
| 387 |
+
"108": "Skirts",
|
| 388 |
+
"109": "Socks",
|
| 389 |
+
"110": "Sports Sandals",
|
| 390 |
+
"111": "Sports Shoes",
|
| 391 |
+
"112": "Stockings",
|
| 392 |
+
"113": "Stoles",
|
| 393 |
+
"114": "Sunglasses",
|
| 394 |
+
"115": "Sunscreen",
|
| 395 |
+
"116": "Suspenders",
|
| 396 |
+
"117": "Sweaters",
|
| 397 |
+
"118": "Sweatshirts",
|
| 398 |
+
"119": "Swimwear",
|
| 399 |
+
"120": "Tablet Sleeve",
|
| 400 |
+
"121": "Ties",
|
| 401 |
+
"122": "Ties and Cufflinks",
|
| 402 |
+
"123": "Tights",
|
| 403 |
+
"124": "Toner",
|
| 404 |
+
"125": "Tops",
|
| 405 |
+
"126": "Track Pants",
|
| 406 |
+
"127": "Tracksuits",
|
| 407 |
+
"128": "Travel Accessory",
|
| 408 |
+
"129": "Trolley Bag",
|
| 409 |
+
"130": "Trousers",
|
| 410 |
+
"131": "Trunk",
|
| 411 |
+
"132": "Tshirts",
|
| 412 |
+
"133": "Tunics",
|
| 413 |
+
"134": "Umbrellas",
|
| 414 |
+
"135": "Waist Pouch",
|
| 415 |
+
"136": "Waistcoat",
|
| 416 |
+
"137": "Wallets",
|
| 417 |
+
"138": "Watches",
|
| 418 |
+
"139": "Water Bottle",
|
| 419 |
+
"140": "Wristbands"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"baseColour": {
|
| 423 |
+
"label2id": {
|
| 424 |
+
"Beige": 0,
|
| 425 |
+
"Black": 1,
|
| 426 |
+
"Blue": 2,
|
| 427 |
+
"Bronze": 3,
|
| 428 |
+
"Brown": 4,
|
| 429 |
+
"Burgundy": 5,
|
| 430 |
+
"Charcoal": 6,
|
| 431 |
+
"Coffee Brown": 7,
|
| 432 |
+
"Copper": 8,
|
| 433 |
+
"Cream": 9,
|
| 434 |
+
"Fluorescent Green": 10,
|
| 435 |
+
"Gold": 11,
|
| 436 |
+
"Green": 12,
|
| 437 |
+
"Grey": 13,
|
| 438 |
+
"Grey Melange": 14,
|
| 439 |
+
"Khaki": 15,
|
| 440 |
+
"Lavender": 16,
|
| 441 |
+
"Lime Green": 17,
|
| 442 |
+
"Magenta": 18,
|
| 443 |
+
"Maroon": 19,
|
| 444 |
+
"Mauve": 20,
|
| 445 |
+
"Metallic": 21,
|
| 446 |
+
"Multi": 22,
|
| 447 |
+
"Mushroom Brown": 23,
|
| 448 |
+
"Mustard": 24,
|
| 449 |
+
"Navy Blue": 25,
|
| 450 |
+
"Nude": 26,
|
| 451 |
+
"Off White": 27,
|
| 452 |
+
"Olive": 28,
|
| 453 |
+
"Orange": 29,
|
| 454 |
+
"Peach": 30,
|
| 455 |
+
"Pink": 31,
|
| 456 |
+
"Purple": 32,
|
| 457 |
+
"Red": 33,
|
| 458 |
+
"Rose": 34,
|
| 459 |
+
"Rust": 35,
|
| 460 |
+
"Sea Green": 36,
|
| 461 |
+
"Silver": 37,
|
| 462 |
+
"Skin": 38,
|
| 463 |
+
"Steel": 39,
|
| 464 |
+
"Tan": 40,
|
| 465 |
+
"Taupe": 41,
|
| 466 |
+
"Teal": 42,
|
| 467 |
+
"Turquoise Blue": 43,
|
| 468 |
+
"White": 44,
|
| 469 |
+
"Yellow": 45
|
| 470 |
+
},
|
| 471 |
+
"id2label": {
|
| 472 |
+
"0": "Beige",
|
| 473 |
+
"1": "Black",
|
| 474 |
+
"2": "Blue",
|
| 475 |
+
"3": "Bronze",
|
| 476 |
+
"4": "Brown",
|
| 477 |
+
"5": "Burgundy",
|
| 478 |
+
"6": "Charcoal",
|
| 479 |
+
"7": "Coffee Brown",
|
| 480 |
+
"8": "Copper",
|
| 481 |
+
"9": "Cream",
|
| 482 |
+
"10": "Fluorescent Green",
|
| 483 |
+
"11": "Gold",
|
| 484 |
+
"12": "Green",
|
| 485 |
+
"13": "Grey",
|
| 486 |
+
"14": "Grey Melange",
|
| 487 |
+
"15": "Khaki",
|
| 488 |
+
"16": "Lavender",
|
| 489 |
+
"17": "Lime Green",
|
| 490 |
+
"18": "Magenta",
|
| 491 |
+
"19": "Maroon",
|
| 492 |
+
"20": "Mauve",
|
| 493 |
+
"21": "Metallic",
|
| 494 |
+
"22": "Multi",
|
| 495 |
+
"23": "Mushroom Brown",
|
| 496 |
+
"24": "Mustard",
|
| 497 |
+
"25": "Navy Blue",
|
| 498 |
+
"26": "Nude",
|
| 499 |
+
"27": "Off White",
|
| 500 |
+
"28": "Olive",
|
| 501 |
+
"29": "Orange",
|
| 502 |
+
"30": "Peach",
|
| 503 |
+
"31": "Pink",
|
| 504 |
+
"32": "Purple",
|
| 505 |
+
"33": "Red",
|
| 506 |
+
"34": "Rose",
|
| 507 |
+
"35": "Rust",
|
| 508 |
+
"36": "Sea Green",
|
| 509 |
+
"37": "Silver",
|
| 510 |
+
"38": "Skin",
|
| 511 |
+
"39": "Steel",
|
| 512 |
+
"40": "Tan",
|
| 513 |
+
"41": "Taupe",
|
| 514 |
+
"42": "Teal",
|
| 515 |
+
"43": "Turquoise Blue",
|
| 516 |
+
"44": "White",
|
| 517 |
+
"45": "Yellow"
|
| 518 |
+
}
|
| 519 |
+
},
|
| 520 |
+
"season": {
|
| 521 |
+
"label2id": {
|
| 522 |
+
"Fall": 0,
|
| 523 |
+
"Spring": 1,
|
| 524 |
+
"Summer": 2,
|
| 525 |
+
"Winter": 3
|
| 526 |
+
},
|
| 527 |
+
"id2label": {
|
| 528 |
+
"0": "Fall",
|
| 529 |
+
"1": "Spring",
|
| 530 |
+
"2": "Summer",
|
| 531 |
+
"3": "Winter"
|
| 532 |
+
}
|
| 533 |
+
},
|
| 534 |
+
"usage": {
|
| 535 |
+
"label2id": {
|
| 536 |
+
"Casual": 0,
|
| 537 |
+
"Ethnic": 1,
|
| 538 |
+
"Formal": 2,
|
| 539 |
+
"Home": 3,
|
| 540 |
+
"Party": 4,
|
| 541 |
+
"Smart Casual": 5,
|
| 542 |
+
"Sports": 6,
|
| 543 |
+
"Travel": 7
|
| 544 |
+
},
|
| 545 |
+
"id2label": {
|
| 546 |
+
"0": "Casual",
|
| 547 |
+
"1": "Ethnic",
|
| 548 |
+
"2": "Formal",
|
| 549 |
+
"3": "Home",
|
| 550 |
+
"4": "Party",
|
| 551 |
+
"5": "Smart Casual",
|
| 552 |
+
"6": "Sports",
|
| 553 |
+
"7": "Travel"
|
| 554 |
+
}
|
| 555 |
+
}
|
| 556 |
+
}
|
metrics.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"task_metrics": {
|
| 3 |
+
"gender": {
|
| 4 |
+
"accuracy": 0.8886703978218121,
|
| 5 |
+
"macro_f1": 0.7766001480008942,
|
| 6 |
+
"weighted_f1": 0.8983867693730325,
|
| 7 |
+
"top3_accuracy": 0.9956133716533051
|
| 8 |
+
},
|
| 9 |
+
"masterCategory": {
|
| 10 |
+
"accuracy": 0.9933444259567388,
|
| 11 |
+
"macro_f1": 0.8629937982338353,
|
| 12 |
+
"weighted_f1": 0.9931059873925967,
|
| 13 |
+
"top3_accuracy": 0.999394947814249
|
| 14 |
+
},
|
| 15 |
+
"subCategory": {
|
| 16 |
+
"accuracy": 0.9429738314929663,
|
| 17 |
+
"macro_f1": 0.7108939726417577,
|
| 18 |
+
"weighted_f1": 0.9457045590919284,
|
| 19 |
+
"top3_accuracy": 0.9947057933746786
|
| 20 |
+
},
|
| 21 |
+
"articleType": {
|
| 22 |
+
"accuracy": 0.8410225381939193,
|
| 23 |
+
"macro_f1": 0.6639695724602702,
|
| 24 |
+
"weighted_f1": 0.849652792592164,
|
| 25 |
+
"top3_accuracy": 0.9711087581303888
|
| 26 |
+
},
|
| 27 |
+
"baseColour": {
|
| 28 |
+
"accuracy": 0.6011193465436394,
|
| 29 |
+
"macro_f1": 0.3409578550909414,
|
| 30 |
+
"weighted_f1": 0.6308289193022855,
|
| 31 |
+
"top3_accuracy": 0.8538798971411284
|
| 32 |
+
},
|
| 33 |
+
"season": {
|
| 34 |
+
"accuracy": 0.7070034790500681,
|
| 35 |
+
"macro_f1": 0.7280134716349071,
|
| 36 |
+
"weighted_f1": 0.7072817578439281,
|
| 37 |
+
"top3_accuracy": 0.9848736953562245
|
| 38 |
+
},
|
| 39 |
+
"usage": {
|
| 40 |
+
"accuracy": 0.8603842081379519,
|
| 41 |
+
"macro_f1": 0.5144845481783126,
|
| 42 |
+
"weighted_f1": 0.8701074711809624,
|
| 43 |
+
"top3_accuracy": 0.9981848434427469
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
"overall_metrics": {
|
| 47 |
+
"average_accuracy": 0.8335026038852995,
|
| 48 |
+
"average_macro_f1": 0.6568447666058456,
|
| 49 |
+
"average_weighted_f1": 0.8421526081109854,
|
| 50 |
+
"average_top3_accuracy": 0.9711087581303888,
|
| 51 |
+
"exact_match_accuracy": 0.27938284677053393,
|
| 52 |
+
"avg_inference_time_ms_per_image": 1.5960319117829298,
|
| 53 |
+
"p95_inference_time_ms_per_image": 1.4948196709156036,
|
| 54 |
+
"test_samples": 6611
|
| 55 |
+
}
|
| 56 |
+
}
|
model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f4c4c9721bcb8ab6db236745bdf5aaf3e2aecd0f3139d2f58f248dc43b7bd26c
|
| 3 |
+
size 613172298
|