Objects365 is a large-scale object detection dataset, Objects365, which has 365 object categories over 600K training images. More than 10 million, high-quality bounding boxes are manually labeled through a three-step, carefully designed annotation pipeline. It is the largest object detection dataset (with full annotation) so far and establishes a more challenging benchmark for the community.
Source: Objects365: A Large-Scale, High-Quality Dataset for Object Detection
Image Source: https://www.objects365.org/overview.html
Variants: Objects365
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Object Detection | ScaleDet | ScaleDet: A Scalable Multi-Dataset Object … | 2023-06-08 |
| Open Vocabulary Object Detection | Object-Centric-OVD | Bridging the Gap between Object … | 2022-07-07 |
| Open Vocabulary Object Detection | ViLD | Open-vocabulary Object Detection via Vision … | 2021-04-28 |
Recent papers with results on this dataset: