xlangai/Jedi
JEDI NOTE: Before you use this dataset, make sure you understand the logic of absolute coordinates and image processor for Qwen2.5-VL. This dataset is set with the image processor max tokens to be 2700, a.k.a max_pixels=2700x14x14x2x2 , the coordinates were resized to be smaller and you have to resize the image as well within max_pixels=2700x14x14x2x2 via image processor to make them align. Make sure you also follow it in your training procedure, otherwise the performance will… See the full description on the dataset page: https://huggingface.co/datasets/xlangai/Jedi.
| Author / organization | xlangai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 2K (as reported by Hugging Face) |
| Likes | 30 |
| Created | 28 April 2025 |
| Last updated at source | 27 June 2025 |
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Recent changes
- 17 Oct 2026 Description: JEDI NOTE: Before you use this dataset, make sure you understand the logic of absolute coordinates and image processor for Qwen2.5-VL. This dataset is set with the image processor max tokens to be 2700, a.k.a max_pixels=2700x14x14x2x2 , the → JEDI NOTE: Before you use this dataset, make sure you understand the logic of absolute coordinates and image processor for Qwen2.5-VL. This dataset is set with the image processor max tokens to be 2700, a.k.a max_pixels=2700x14x14x2x2 , the
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