Datasets:
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dataset uploaded by roboflow2huggingface package
Browse files- README.dataset.txt +27 -15
- README.md +14 -35
- README.roboflow.txt +4 -13
- data/test.zip +2 -2
- data/train.zip +2 -2
- data/valid-mini.zip +2 -2
- data/valid.zip +2 -2
- plane-detection.py +9 -9
- split_name_to_num_samples.json +1 -1
- thumbnail.jpg +2 -2
README.dataset.txt
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#
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https://
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Provided by
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License: CC BY 4.0
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# undefined > raw images
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https://public.roboflow.ai/object-detection/undefined
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Provided by undefined
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License: CC BY 4.0
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# SkyBot
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This is the dataset powering http://skybot.cam, an app that captures planes flying over top of my house.
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![Skycam Tweet](https://i.imgur.com/DhxlR8J.png)
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Upon the project gaining popularity on [Hacker News](https://news.ycombinator.com/item?id=30039597) from the above [tweet](https://twitter.com/LukeBerndt/status/1484916000139194375), I thought I'd share the dataset and an example model to make it easier for others to build a plane spotting app, too.
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## About this Project
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I built a system to take photos of all of the airplanes that fly over my house. Most of these planes are passing by at more than 30,000 feet! It uses ADS-B to track where the aircraft are relative to the camera, points the camera in the right direction and snaps a photo. I then run a few serverless functions that are running to detect where the aircraft is in the image and make a thumbnail. Much of the services are hosted on Azure. There's more details on the overall project here! http://skybot.cam/about. The project is [open source](https://github.com/IQTLabs/SkyScan/tree/main/ml-model/scripts) as a part of my work from IQT as well.
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![Skybot Infrastructure](https://i.imgur.com/Lrv71Aq.png)
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## About the Dataset
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The dataset is of airfract that was captured as they flew overhead. It includes a mix of large and small passenger jets and an assortment of business jets. There are also a images with buildings and contrails, where there is not aircraft present.
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### Use Cases
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This dataset should allow for a plane dectector model to be built like for plane spotting and plane detection.
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## About Me
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I'm Luke Berndt, I work on Azure products at Microsoft. You can learn more about me here: http://lukeberndt.com/
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README.md
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tags:
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- roboflow
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- roboflow2huggingface
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-
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- Logistics
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- Utilities
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- Damage Risk
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- Ppe
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- Construction
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- Utilities
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- Manufacturing
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- Logistics
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- Ppe
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- Assembly Line
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- Warehouse
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- Factory
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---
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<div align="center">
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### Dataset Labels
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```
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['
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```
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### Number of Images
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```json
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{'
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```
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```
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### Roboflow Dataset Page
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[https://universe.roboflow.com/
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### Citation
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```
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@misc{
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title = {
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type = { Open Source Dataset },
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author = {
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howpublished = { \\url{ https://universe.roboflow.com/
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url = { https://universe.roboflow.com/
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journal = { Roboflow Universe },
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publisher = { Roboflow },
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year = {
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month = { jan },
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note = { visited on 2023-01-
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}
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```
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CC BY 4.0
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### Dataset Summary
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This dataset was exported via roboflow.
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Roboflow is an end-to-end computer vision platform that helps you
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* collaborate with your team on computer vision projects
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* collect & organize images
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* understand unstructured image data
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* annotate, and create datasets
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* export, train, and deploy computer vision models
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* use active learning to improve your dataset over time
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It includes
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The following pre-processing was applied to each image:
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* Auto-orientation of pixel data (with EXIF-orientation stripping)
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No image augmentation techniques were applied.
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tags:
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- roboflow
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- roboflow2huggingface
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---
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<div align="center">
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### Dataset Labels
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```
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['planes']
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```
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### Number of Images
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```json
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{'test': 25, 'valid': 50, 'train': 175}
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```
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```
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### Roboflow Dataset Page
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[https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4](https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4?ref=roboflow2huggingface)
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### Citation
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```
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@misc{ overhead-plane-detector_dataset,
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title = { Overhead Plane Detector Dataset },
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type = { Open Source Dataset },
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author = { SkyBot Cam },
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howpublished = { \\url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
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url = { https://universe.roboflow.com/skybot-cam/overhead-plane-detector },
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journal = { Roboflow Universe },
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publisher = { Roboflow },
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year = { 2022 },
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month = { jan },
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note = { visited on 2023-01-27 },
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}
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```
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CC BY 4.0
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### Dataset Summary
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This dataset was exported via roboflow.ai on March 30, 2022 at 3:11 PM GMT
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It includes 250 images.
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Planes are annotated in COCO format.
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The following pre-processing was applied to each image:
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No image augmentation techniques were applied.
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README.roboflow.txt
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==============================
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This dataset was exported via roboflow.
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* collect & organize images
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* understand unstructured image data
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* annotate, and create datasets
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* export, train, and deploy computer vision models
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* use active learning to improve your dataset over time
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It includes 398 images.
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Construction are annotated in COCO format.
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The following pre-processing was applied to each image:
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* Auto-orientation of pixel data (with EXIF-orientation stripping)
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No image augmentation techniques were applied.
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Overhead Plane Detector - v4 raw images
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==============================
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This dataset was exported via roboflow.ai on March 30, 2022 at 3:11 PM GMT
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It includes 250 images.
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Planes are annotated in COCO format.
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The following pre-processing was applied to each image:
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No image augmentation techniques were applied.
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data/test.zip
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf1310001f1a93409e25e67174ddbd20e039339f9cdf144488cc82dbb3418161
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size 1885664
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data/train.zip
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oid sha256:18cceb162a54d04d3b8335ab57bd9a78b502cb65d954de1dee122d62ee95ad55
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size 14475473
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data/valid-mini.zip
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size 415490
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data/valid.zip
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size 3939295
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plane-detection.py
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import datasets
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_HOMEPAGE = "https://universe.roboflow.com/
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_LICENSE = "CC BY 4.0"
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_CITATION = """\
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@misc{
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title = {
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type = { Open Source Dataset },
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author = {
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howpublished = { \\url{ https://universe.roboflow.com/
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url = { https://universe.roboflow.com/
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journal = { Roboflow Universe },
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publisher = { Roboflow },
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year = {
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month = { jan },
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note = { visited on 2023-01-
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}
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"""
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_CATEGORIES = ['
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_ANNOTATION_FILENAME = "_annotations.coco.json"
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import datasets
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_HOMEPAGE = "https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4"
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_LICENSE = "CC BY 4.0"
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_CITATION = """\
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@misc{ overhead-plane-detector_dataset,
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title = { Overhead Plane Detector Dataset },
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type = { Open Source Dataset },
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author = { SkyBot Cam },
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howpublished = { \\url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
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url = { https://universe.roboflow.com/skybot-cam/overhead-plane-detector },
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journal = { Roboflow Universe },
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publisher = { Roboflow },
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year = { 2022 },
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month = { jan },
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note = { visited on 2023-01-27 },
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}
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"""
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_CATEGORIES = ['planes']
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_ANNOTATION_FILENAME = "_annotations.coco.json"
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split_name_to_num_samples.json
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{"
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{"test": 25, "valid": 50, "train": 175}
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thumbnail.jpg
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