Datasets:
file_name stringclasses 4 values | quality stringclasses 4 values | chocolate_type stringclasses 3 values | occlusion_level stringclasses 2 values | background_clarity stringclasses 3 values | lighting_condition stringclasses 2 values | angle_of_view stringclasses 3 values |
|---|---|---|---|---|---|---|
3d3b172dbaffdc0ed02d710878039d9f.png | 1051*1500 | Chunk Chocolate | No Occlusion | Clear | Bright | Front View |
610b2d0930e27b7c05392701e97e6ebb.png | 1181*1500 | block chocolate | slight occlusion | blurry | bright | top view |
6177515661128a32708b5b3f79bbbfe2.png | 1117*1500 | chocolate bar | slight occlusion | clear | bright | side view |
b771a9360261ca5768d0cfe387482535.png | 3117*1500 | chocolate bar | slight occlusion | clear | bright | top view |
Chocolate Product Occlusion Image Dataset
The retail e-commerce industry faces challenges in accurately identifying products that are partially occluded in images. Existing datasets often lack diversity in occlusion scenarios, leading to poor performance in real-world applications. This dataset aims to address the need for a comprehensive collection of images depicting chocolate products with various levels of occlusion. The dataset was collected using high-resolution cameras in controlled lighting environments, ensuring clarity and detail. Quality control measures included multi-round annotations, consistency checks among annotators, and expert reviews to ensure accuracy. Images are stored in JPG format, organized by product type and occlusion level for easy access and analysis.
This dataset's core advantages lie in its high-quality annotations, which boast over 95% accuracy and consistency, addressing the common issues of mislabeling and incomplete data. The innovative annotation process incorporates advanced techniques such as semi-automated labeling and machine learning-assisted verification, significantly reducing human error. The dataset is designed to enhance performance in real-world applications, with expected improvements in product recognition accuracy by over 20% in scenarios involving occluded products compared to existing datasets.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| chocolate_type | string | The type of chocolate product appearing in the image, such as chocolate blocks or chocolate bars. |
| occlusion_level | string | The degree of occlusion of the chocolate product in the image, such as slightly occluded, moderately occluded, or heavily occluded. |
| background_clarity | string | The clarity of the image background, such as clear or blurry. |
| lighting_condition | string | The lighting conditions when the image was taken, such as bright or dim. |
| angle_of_view | string | The perspective of the image when taken, such as front view, side view, or top view. |
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
- Downloads last month
- 16