Dataset · Hugging Face

hwyrsrch/DroneCATS-Pilot-54K

Name: DroneCATS-Pilot-54K
Creator: hwyrsrch
License: cc-by-nc-4.0
Keywords: task_categories:visual-question-answering, language:en, license:cc-by-nc-4.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2609.01404, region:us, drone, depth-estimation, vision-language

DroneCATS-Pilot-54K A single-turn, English instruction dataset for depth estimation and drone actions, used to train DroneCATS. It has 53,976 question-answer rows over frames from NYU Depth v2, SUN RGB-D and TartanAir v2. This repository holds the annotations only; no image is included. You download the images from their official sources and rebuild the dataset with the code in the datagen/ folder of DroneCATS. The rebuilt files are byte-identical to the dataset we trained on… See the full description on the dataset page: https://huggingface.co/datasets/hwyrsrch/DroneCATS-Pilot-54K.

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Author / organization	hwyrsrch
License (as declared)	cc-by-nc-4.0
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	23 October 2026
Last updated at source	23 October 2026

dronedepth-estimationvision-languagesynthetic-annotations

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Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and SearchingPaper · cites

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Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and SearchingPaper

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