ONNX 模型库
返回模型

说明文档

license: agpl-3.0

这个模型是一个图像分类器，用于预测 Open Prices 上凭证图像的凭证类型。

支持以下类别：

  • PRICE_TAG：商店中单个价格标签的照片。如果可以看到多个价格标签，则图像应分类为 SHELF。
  • SHELF：带有多个产品和价格标签的货架照片。如果只看到一个价格标签，则图像应分类为 PRICE_TAG。
  • PRODUCT_WITH_PRICE：直接在产品上书写（或添加）价格的单个产品。
  • RECEIPT：商店收据的照片。
  • WEB_PRINT：显示价格/收据的网页截图，或价格宣传册的照片。
  • OTHER：不属于上述任何类别的所有其他图像。

该模型使用 Ultralytics 库进行训练。它是从 YOLOv8n 模型微调而来的。训练数据集是 Open Prices 数据集的一个标注子集。

openfoodfacts/price-proof-classification

作者 openfoodfacts

↓ 0 ♥ 0

创建时间: 2024-09-26 08:02:39+00:00

更新时间: 2025-07-21 16:01:21+00:00

在 Hugging Face 上查看

文件 (162)

.gitattributes
README.md
args.yaml
confusion_matrix.png
confusion_matrix_normalized.png
mlflow/0/meta.yaml
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/args.yaml
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/confusion_matrix.png
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/confusion_matrix_normalized.png
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/results.csv
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/results.png
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/train_batch0.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/train_batch1.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/train_batch2.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/train_batch3330.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/train_batch3331.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/train_batch3332.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/val_batch0_labels.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/val_batch0_pred.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/val_batch1_labels.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/val_batch1_pred.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/val_batch2_labels.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/val_batch2_pred.jpg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/weights/best.pt
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/artifacts/weights/last.pt
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/meta.yaml
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/metrics/lr/pg0
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/metrics/lr/pg1
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/metrics/lr/pg2
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/metrics/metrics/accuracy_top1
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/metrics/metrics/accuracy_top5
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/metrics/train/loss
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/metrics/val/loss
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/agnostic_nms
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/amp
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/augment
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/auto_augment
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/batch
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/bgr
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/box
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/cache
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/cfg
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/classes
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/close_mosaic
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/cls
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/conf
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/copy_paste
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/cos_lr
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/crop_fraction
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/data
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/degrees
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/deterministic
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/device
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/dfl
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/dnn
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/dropout
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/dynamic
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/embed
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/epochs
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/erasing
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/exist_ok
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/fliplr
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/flipud
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/format
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/fraction
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/freeze
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/half
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/hsv_h
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/hsv_s
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/hsv_v
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/imgsz
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/int8
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/iou
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/keras
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/kobj
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/label_smoothing
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/line_width
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/lr0
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/lrf
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/mask_ratio
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/max_det
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/mixup
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/mode
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/model
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/momentum
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/mosaic
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/multi_scale
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/name
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/nbs
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/nms
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/opset
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/optimize
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/optimizer
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/overlap_mask
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/patience
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/perspective
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/plots
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/pose
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/pretrained
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/profile
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/project
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/rect
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/resume
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/retina_masks
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/save
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/save_conf
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/save_crop
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/save_dir
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/save_frames
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/save_hybrid
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/save_json
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/save_period
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/save_txt
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/scale
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/seed
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/shear
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/show
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/show_boxes
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/show_conf
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/show_labels
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/simplify
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/single_cls
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/source
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/split
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/stream_buffer
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/task
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/time
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/tracker
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/translate
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/val
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/verbose
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/vid_stride
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/visualize
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/warmup_bias_lr
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/warmup_epochs
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/warmup_momentum
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/weight_decay
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/workers
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/params/workspace
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/tags/mlflow.runName
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/tags/mlflow.source.name
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/tags/mlflow.source.type
mlflow/119284362706535067/e432b13dca424ce6b8ad60074d948b37/tags/mlflow.user
mlflow/119284362706535067/meta.yaml
results.csv
results.png
train_batch0.jpg
train_batch1.jpg
train_batch2.jpg
train_batch3330.jpg
train_batch3331.jpg
train_batch3332.jpg
val_batch0_labels.jpg
val_batch0_pred.jpg
val_batch1_labels.jpg
val_batch1_pred.jpg
val_batch2_labels.jpg
val_batch2_pred.jpg
weights/best.pt
weights/last.pt
weights/model_ir_10_opset_19.onnx ONNX
weights/model_ir_8_opset_17.onnx ONNX