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Dataset

dronescapes

by Meehai meehai/dronescapes
Free2AITools Nexus Index
35.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 46
P: Popularity 58
R: Recency 24
Q: Quality 50
Tech Context
Vital Performance
Data Integrity 35.3 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID meehai/dronescapes
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset_meehai_dronescapes,
  author = {Meehai},
  title = {dronescapes Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/Meehai/dronescapes}},
  note = {Accessed via Free2AITools.}
}
APA Style
Meehai. (2026). dronescapes [Dataset]. Free2AITools. https://huggingface.co/datasets/Meehai/dronescapes

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 46
Popularity (P) 58
Recency (R) 24
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for dronescapes: Authority (A:46), Popularity (P:58), Recency (R:24), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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Downloads
110,831

🎯 Task Categories

multimodal

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Dataset Specification

Dronescapes dataset

Visit the official website for more information: link. This dataset was introduced in our ICCV 2023 workshop paper: link. For citing, see at the end of the page.

Logo

Note: An fully-automated extended variant of this dataset (generating new modalities as inputs) is available at this repository: link.

1. Downloading the data

text
git lfs install # Make sure you have git-lfs installed (https://git-lfs.com)
git clone https://huggingface.co/datasets/Meehai/dronescapes

Note: the dataset has about 200GB, so it may take a while to clone it.

1.2 Low level data for the dataset (GPS, camera rotation matrices)

Click to expand

1.2.1 Convert Camera Normals to World Normals

This is an optional step, but for some use cases, it may be better to use world normals instead of camera normals, which are provided by default in normals_sfm_manual202204. To convert, we provide camera rotation matrices in raw_data/camera_matrics.tar.gz for all 8 scenes that also have SfM.

In order to convert, use this function (for each npz file):

text
def convert_camera_to_world(normals: np.ndarray, rotation_matrix: np.ndarray) -> np.ndarray:
  normals = (normals.copy() - 0.5) * 2 # [-1:1] -> [0:1]
  camera_normals = camera_normals @ np.linalg.inv(rotation_matrix)
  camera_normals = (camera_normals / 2) + 0.5 # [0:1] => [-1:1]
  return np.clip(camera_normals, 0.0, 1.0)

1.2.2 Raw camera location

The GPS location (lat/long/height) is in the raw_data/raw_camera_info.tar.gz. Each file over there is an archive over the original videos, so the train/val/test splits files from raw_data/txt_files must be used to map

Social Proof

HuggingFace Hub
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Source summary: Based on Hugging Face metadata. Not a recommendation.

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πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--meehai--dronescapes
slug
meehai--dronescapes
source
huggingface
author
Meehai
license
tags
modality:video, arxiv:2510.10068, region:us, videos, video, uav, drones, multitask, multimodal

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
110,831
stars
0
forks
0

Data indexed from public sources. Updated daily.