liarzone/EVAttrs-95K
EVAttrs-95K Introduction This is the dataset proposed in EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing. This dataset contains detailed attributes of 95.1k objects across the ShipRSImageNet, MAR20 and FAIR1M datasets. How to use Each data entry in the dataset corresponds to an annotated image, identified by a unique img_id. Within each image, a list of objects (objs) is provided. Each object includes its class, ID, and a… See the full description on the dataset page: https://huggingface.co/datasets/liarzone/EVAttrs-95K.
| Author / organization | liarzone |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 944 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 March 2025 |
| Last updated at source | 29 May 2025 |
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- 17 Oct 2026 Description: EVAttrs-95K Introduction This is the dataset proposed in EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing. This dataset contains detailed attributes of 95.1k objects across the ShipRSImageNet, MAR20 and FAIR1M datasets. → EVAttrs-95K Introduction This is the dataset proposed in EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing. This dataset contains detailed attributes of 95.1k objects across the ShipRSImageNet, MAR20 and FAIR1M datasets.
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