SAMPLE Furniture Object Detection Dataset | Multi-Angle AI Training | 100% Global Coverage

This dataset contains images of various home furniture items, specifically curated to support the development and enhancement of AI-based object detection and classification systems.

Accurate furniture recognition plays a key role in applications such as smart home technology, augmented reality, interior design tools, and e-commerce platforms. By training models on diverse and well-labeled furniture data, developers can significantly improve recognition performance across different environments and conditions, including variations in lighting, angles, and room settings.

The dataset includes over 63k datapoints across 43 distinct furniture categories. Each category is represented with hundreds of images captured from multiple perspectives to reflect realistic and practical use cases.

Content:

1. Chair Dataset - 980 Images
2. Coffee Table Dataset - 528 Images
3. Dining Table Dataset - 2355 Images
4. Dresser Dataset - 1974 Images
5. Bed Dataset - 2862 Images
6. Bar Stool Dataset - 1665 Images
7. Desk Dataset - 1749 Images
8. TV Stand Dataset - 1908 Images
9. Shoe Rack Dataset - 1972 Images
10. Bookcase Dataset - 1932 Images
11. Bedside Table Dataset - 1968 Images
12. Office Chair - 1904 Images
13. Floor Lamp Dataset - 1614 Images
14. Armchair Dataset - 1323 Images
15. Coat Rack Dataset - 2969 Images
16. Bean Bag Dataset - 2700 Images
17. Mattress Dataset - 2807 Images
18. Ceiling Fan Dataset - 2758 Images
19. Crib Dataset - 2991 Images
20. Ceiling Lights Dataset - 2311 Images
21. Deckchair Dataset - 1125 Images
22. Rug Dataset - 1670 Images
23. Ottoman Dataset - 684 Images
24. Wall Clock Dataset - 703 Images
25. Step Stool Dataset - 690 Images
26. Kitchen Island Dataset - 391 Images
27. Patio Furniture Dataset - 680 Images
28. Clothes Rack Dataset - 369 Images
29. TV Dataset - 820 Images
30. Massage Chair Dataset - 819 Images
31. Flower Vase Dataset - 572 Images
32. Bedside Bench Dataset - 592 Images
33. Kids Desk Dataset - 908 Images
34. Electric Fire Place Dataset - 860 Images 
35. Rocking Chair Dataset - 887 Images 
36. Wine Bottle Holder Dataset - 900 Images 
37. Magazine Rack Dataset - 984 Images 
38. Ladder Shelf Dataset - 615 Images
39. Aquarium Stand Dataset - 920 Images
40. Ironing Board Dataset - 835 Images
41. Bar Cart Dataset - 1980 Images
42. Mosquito Screen Dataset - 2788 Images
43. Mini Bar Dataset - 938 Images

These images can be utilized to train and evaluate AI-based furniture recognition models. The dataset is structured to facilitate easy integration into machine learning pipelines, allowing users to extend it with additional tool images as needed.