Condiment Occlusion Image Dataset
V1.0Latest Update: | 2026-01-14 | Samples: | 5000 records |
Samples: | 5000 records | ||
File Size: | 1.2G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Product Recognition | Visual Search | Inventory Management | ||
Applications: | Object Detection | Image Classification | ||
Brief Introduction
The retail e-commerce industry is facing significant challenges in accurately recognizing products due to occlusions that frequently occur in images. Existing solutions often fail to handle partial visibility effectively, leading to misclassifications and increasing operational costs. This dataset addresses the need for high-quality training data specifically focused on images of condiment packaging (like Heinz, Hunt's, and Hellmann’s) that are partially obstructed. The data is collected using high-resolution cameras in controlled lighting conditions to ensure clarity despite occlusions. Quality control measures include multi-round annotations, consistency checks, and expert reviews to maintain high standards. The dataset is organized in JPG format and stored in a structured manner for easy access and processing.
Sample Examples
| Image | File Name | Resolution | Bounding Box | Object Category | Occlusion Level | Image Brightness | Image Contrast | Image Sharpness | Image Saturation | Object Count | Background Complexity | Viewing Angle |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 | 9051445450641bdd58a0da24d52ef619.jpg | 1224*1632 | Unavailable | Seasoning Sauce Bottle | 10 | 70 | 70 | 70 | 60 | 1 | Medium | About 45 degrees |
 | 11a30b1a33f54806542992344160e636.jpg | 1224*1632 | [100, 150, 400, 300] | Mexican Hot Sauce | 10 | 70 | 60 | 75 | 65 | 1 | Medium | Approximately 45 degrees |
 | 781c3b04cfcf2264b3e38d1c3b803212.jpg | 1185*1687 | [100, 50, 600, 900] | Seasoning Sauce Bottle | 0 | 70 | 60 | 75 | 65 | 1 | Medium | 30 degrees |
 | e63c3f22aac4e48a90e2f8d2b1caf3d1.jpg | 1224*1632 | (100, 50, 600, 900) | Taco Bell Sauce | 0 | 60 | 70 | 75 | 65 | 1 | Low | Vertical Angle |
 | a49b11a58499dd2dd2c22ca250ec4926.jpg | 949*2108 | [(50, 50), (450, 800)] | Mambo Sauce | 0 | 75 | 60 | 70 | 65 | 3 | Low | Frontal View |
 | 45a5f719fd09cdbba2ddf0e48ef8ca81.jpg | 777*1036 | [50, 100, 500, 900] | Blackened Ranch Sauce | 0 | 70 | 60 | 75 | 65 | 1 | Medium | Frontal View |
 | 1622614721e475488eaef8dc5f0789ff.jpg | 1224*1632 | Left bottle: (150, 100, 350, 700); Right bottle: (400, 100, 600, 700) | Garlic Chili Sauce | 0 | 75 | 70 | 80 | 65 | 2 | Low | Frontal View |
 | 351c3219fbc339f260ff92669d87f6cd.jpg | 1061*1884 | (50, 50, 600, 1200) | Sauce | 0 | 75 | 65 | 70 | 85 | 1 | Low | 15 degrees |
 | acda93b9d3fc4b9b06a0f11187aa02c7.jpg | 480*640 | Approximately occupying the center of the image | Garlic Sauce | 10 | 75 | 70 | 80 | 70 | 1 | Medium | Upper Oblique View |
 | a577c67498d3f033119d60c5c231b999.jpg | 1061*1884 | [100, 200, 400, 600] | Sauce | 0 | 70 | 80 | 75 | 60 | 4 | Medium | 45 degrees |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| bounding_box | json | The coordinates of the bounding box of the object in the image. |
| object_class | string | The identified category of the condiment. |
| occlusion_level | int | The degree to which the object is occluded, in a percentage from 0 to 100. |
| image_brightness | float | Overall brightness value of the image. |
| image_contrast | float | Overall contrast value of the image. |
| image_sharpness | float | The sharpness of the image. |
| image_saturation | float | The color saturation of the image. |
| object_count | int | The number of condiments identified in the image by text recognition. |
| background_complexity | int | The complexity of the background, used to assess the recognition difficulty. |
| angle_of_view | float | The viewing angle at the time of shooting. |
Compliance Statement
| Item | Content |
|---|---|
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China’s Data Security Law / EU GDPR / supports enterprise data access logs |
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