Datasets:
Tasks:
Object Detection
Languages:
English
Size:
< 1K
Tags:
object detection
image segmentation
product recognition
image classification
inventory management
License:
file_name stringlengths 36 36 | quality stringclasses 10
values | object_count stringclasses 4
values | object_type stringclasses 7
values | occlusion_level stringclasses 4
values | object_position stringlengths 11 153 | background_complexity stringclasses 2
values | light_condition stringclasses 2
values | image_clarity stringclasses 2
values | contrast_level stringclasses 5
values |
|---|---|---|---|---|---|---|---|---|---|
08dbf8dc18ece99697dda6ae7e0023ab.jpg | 1224*1632 | 2 | Oat milk packaging, Bottle cap | Partial occlusion | Oat milk packaging: (30, 100, 300, 600); Bottle cap: (400, 400, 50, 50) | Complex | Bright | Clear | Medium contrast |
1de29519559fbdf944de9688b058b488.jpg | 1224*1632 | 3 | Oat milk packaging | Partial occlusion | [(250, 150, 100, 200), (360, 280, 90, 180), (470, 300, 90, 180)] | Simple | Bright | Clear | Medium contrast |
287d9d61299687a0f9549bafd67ba1ab.jpg | 814*1248 | 1 | Oat milk packaging | No occlusion | (100, 50, 300, 700) | Complex | Bright | Clear | Medium contrast |
2b9cb1ad5ed9e9bf340db7be9c553dff.jpg | 1224*1632 | 4 | Oat milk packaging, Glass cup, Bottle cap | No occlusion | Oat milk packaging: (100, 50, 150, 400), (600, 50, 150, 400); Glass cup: (150, 300, 100, 100), (650, 300, 100, 100); Bottle cap: (400, 300, 50, 50) | Complex | Bright | Clear | High contrast |
2edfebab6206f1fc306c9faa083daaa5.jpg | 1024*1820 | 1 | Oat milk packaging | No occlusion | Center left | Simple | Bright | Clear | Medium contrast |
4b61406f90174b96fae55b22314d6bae.jpg | 4224*1952 | 3 | Oat milk packaging, Blender, Cup | Partial occlusion | Oat milk packaging: (center), Blender: (left), Cup: (right) | Complex | Bright | Clear | Medium contrast |
527400859bee90c0cb04771fd3619886.jpg | 972*2055 | 1 | Oat milk packaging | No occlusion | (x: 200, y: 50, width: 300, height: 500) | Simple | Bright | Clear | Medium contrast |
6beff80a165d68a1ba4745056f604f7e.jpg | 1060*1885 | 1 | Oat milk packaging | Partial occlusion | (500, 200, 100, 250) | Simple | Bright | Clear | High contrast |
825092f38e1c568850cf35e7925943c6.jpg | 1224*1632 | 1 | Oat milk packaging | Partial occlusion | (100, 100, 300, 400) | Complex | Bright | Clear | Medium contrast |
87b1d4e6c78a784a875c62422b6bae26.jpg | 1224*1632 | 2 | Oat Milk Packaging and Glass Cup | Unoccluded | Oat Milk Packaging located on the left (x:100, y:100, width:150, height:400), Glass Cup located on the bottom right (x:250, y:300, width:130, height:180) | Simple | Bright | Clear | Medium Contrast |
926ddc3305493d5c2ab8921c172ceaef.jpg | 1060*1885 | 1 | Oat Milk Packaging | Partially Occluded | (x, y, width, height) Unknown | Simple | Bright | Clear | High Contrast |
a8713a50bbdbcd3c1f95dd16ecab2cad.jpg | 2268*4032 | 1 | Oat milk packaging | No occlusion | (x: Top left, y: Center, width: Approximate package width, height: Approximate package height) | Simple | Bright | Clear | Medium contrast |
acfca10dd4fa060045c1a069c0c1096b.jpg | 1224*1632 | 1 | Oat milk packaging | Partial occlusion | (x: 100, y: 100, width: 300, height: 200) | Complex | Dim | Blurry | Low contrast |
b52aa5c3dbaaed7ef9e84a7c81d5349f.jpg | 1100*1433 | 1 | Oat Milk Packaging | Unoccluded | Centrally located in the image | Simple | Bright | Clear | Medium Contrast |
c9cabe9db6c61ea590843f9b32d486da.jpg | 1632*1224 | 3 | Oat milk packaging | Partial occlusion | Located at (Left-center, Right-center, Bottom-left) | Simple | Bright | Clear | Medium contrast |
ca9081a2cbd51c99d977d73ff423f4e4.jpg | 1066*1875 | 3 | Oat milk packaging, Glass cup, Transparent pouring container | No occlusion | Oat milk packaging:(100, 150, 200, 450), Glass cup:(350, 300, 150, 200), Pouring container:(450, 100, 100, 200) | Simple | Bright | Clear | Medium contrast |
Oat Milk Product Occlusion Image Dataset
The retail e-commerce industry is facing challenges in accurately identifying products in images where brand logos or packaging may be occluded. Existing solutions often struggle with the variability in occlusion types and the impact they have on image recognition accuracy. This dataset aims to address these specific challenges by providing a comprehensive collection of occluded product images featuring brands like Oatly, Silk, and Alpro. The data is collected using high-resolution cameras in controlled environments, ensuring optimal lighting and clarity. Quality control measures involve multiple rounds of annotations, consistency checks among annotators, and expert reviews to ensure high accuracy. The dataset is stored in JPEG format, organized by brand and occlusion type for easy access and analysis.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of identifiable target objects in the image. |
| object_type | string | The type of goods identified in the image, such as oat milk packaging, bottle caps, etc. |
| occlusion_level | string | The degree to which various objects in the image are occluded, for example: no occlusion, partial occlusion, full occlusion. |
| object_position | string | The position coordinates of the target within the image, such as a rectangle defined by (x, y, width, height). |
| background_complexity | string | The complexity of the image background, for example: simple, complex. |
| light_condition | string | The lighting conditions at the time the image was taken, such as: bright, dim. |
| image_clarity | string | The clarity of the image, for example: clear, blurry. |
| contrast_level | string | The contrast level of the image, for example: high contrast, medium contrast, low contrast. |
Compliance Statement
| 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 |
Source & Contact
If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com
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