dataset uploaded by roboflow2huggingface package

README.dataset.txt

@@ -1,18 +1,30 @@
-# Construction Site Safety > original_raw-images
-https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety
+# undefined > raw images
+https://public.roboflow.ai/object-detection/undefined
 
-Provided by a Roboflow user
+Provided by undefined
 License: CC BY 4.0
 
-videos from:
-* https://www.youtube.com/watch?v=Dhxf5mm7g1g
-* https://www.youtube.com/watch?v=rYv9JZ2XBW4
-
-images cloned from:
-* https://universe.roboflow.com/roboflow-universe-projects/personal-protective-equipment-combined-model/
-* https://universe.roboflow.com/roboflow-universe-projects/people-and-ladders/
-* https://universe.roboflow.com/roboflow-universe-projects/safety-vests/
-* https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0
-* https://universe.roboflow.com/popular-benchmarks/mit-indoor-scene-recognition/ - null images
-* https://universe.roboflow.com/mohamed-traore-2ekkp/people-detection-general
-* https://universe.roboflow.com/labeler-projects/construction-madness/
+# SkyBot
+
+This is the dataset powering http://skybot.cam, an app that captures planes flying over top of my house.
+
+![Skycam Tweet](https://i.imgur.com/DhxlR8J.png)
+
+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.
+
+## About this Project
+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.
+
+
+![Skybot Infrastructure](https://i.imgur.com/Lrv71Aq.png)
+
+
+## About the Dataset
+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.
+
+### Use Cases
+
+This dataset should allow for a plane dectector model to be built like for plane spotting and plane detection. 
+
+## About Me
+I'm Luke Berndt, I work on Azure products at Microsoft. You can learn more about me here: http://lukeberndt.com/

README.md

@@ -4,19 +4,7 @@ task_categories:
 tags:
 - roboflow
 - roboflow2huggingface
-- Construction
-- Logistics
-- Utilities
-- Damage Risk
-- Ppe
-- Construction
-- Utilities
-- Manufacturing
-- Logistics
-- Ppe
-- Assembly Line
-- Warehouse
-- Factory
+
 ---
 
 <div align="center">
@@ -26,14 +14,14 @@ tags:
 ### Dataset Labels
 
 ```
-['barricade', 'dumpster', 'excavators', 'gloves', 'hardhat', 'mask', 'no-hardhat', 'no-mask', 'no-safety vest', 'person', 'safety net', 'safety shoes', 'safety vest', 'dump truck', 'mini-van', 'truck', 'wheel loader']
+['planes']
 ```
 
 
 ### Number of Images
 
 ```json
-{'valid': 57, 'train': 307, 'test': 34}
+{'test': 25, 'valid': 50, 'train': 175}
 ```
 
 
@@ -55,22 +43,22 @@ example = ds['train'][0]
 ```
 
 ### Roboflow Dataset Page
-[https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety/dataset/1](https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety/dataset/1?ref=roboflow2huggingface)
+[https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4](https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4?ref=roboflow2huggingface)
 
 ### Citation
 
 ```
-@misc{ construction-site-safety_dataset,
-    title = { Construction Site Safety Dataset },
+@misc{ overhead-plane-detector_dataset,
+    title = { Overhead Plane Detector Dataset },
     type = { Open Source Dataset },
-    author = { Roboflow Universe Projects },
-    howpublished = { \\url{ https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety } },
-    url = { https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety },
+    author = { SkyBot Cam },
+    howpublished = { \\url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
+    url = { https://universe.roboflow.com/skybot-cam/overhead-plane-detector },
     journal = { Roboflow Universe },
     publisher = { Roboflow },
-    year = { 2023 },
+    year = { 2022 },
     month = { jan },
-    note = { visited on 2023-01-18 },
+    note = { visited on 2023-01-27 },
 }
 ```
 
@@ -78,21 +66,12 @@ example = ds['train'][0]
 CC BY 4.0
 
 ### Dataset Summary
-This dataset was exported via roboflow.com on December 29, 2022 at 11:22 AM GMT
-
-Roboflow is an end-to-end computer vision platform that helps you
-* collaborate with your team on computer vision projects
-* collect & organize images
-* understand unstructured image data
-* annotate, and create datasets
-* export, train, and deploy computer vision models
-* use active learning to improve your dataset over time
+This dataset was exported via roboflow.ai on March 30, 2022 at 3:11 PM GMT
 
-It includes 398 images.
-Construction are annotated in COCO format.
+It includes 250 images.
+Planes are annotated in COCO format.
 
 The following pre-processing was applied to each image:
-* Auto-orientation of pixel data (with EXIF-orientation stripping)
 
 No image augmentation techniques were applied.
 

README.roboflow.txt

@@ -1,22 +1,13 @@
 
-Construction Site Safety - v1 original_raw-images
+Overhead Plane Detector - v4 raw images
 ==============================
 
-This dataset was exported via roboflow.com on December 29, 2022 at 11:22 AM GMT
+This dataset was exported via roboflow.ai on March 30, 2022 at 3:11 PM GMT
 
-Roboflow is an end-to-end computer vision platform that helps you
-* collaborate with your team on computer vision projects
-* collect & organize images
-* understand unstructured image data
-* annotate, and create datasets
-* export, train, and deploy computer vision models
-* use active learning to improve your dataset over time
-
-It includes 398 images.
-Construction are annotated in COCO format.
+It includes 250 images.
+Planes are annotated in COCO format.
 
 The following pre-processing was applied to each image:
-* Auto-orientation of pixel data (with EXIF-orientation stripping)
 
 No image augmentation techniques were applied.
 

data/test.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:08fba642491dd486df861c055ea7bff74142ac126a1ff1dc45e4819802e3e4b8
-size 1796467
+oid sha256:bf1310001f1a93409e25e67174ddbd20e039339f9cdf144488cc82dbb3418161
+size 1885664

data/train.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:26bc101596c1933dac85de617c12fb1839ac4fbc0c894f42dc4ebaeac333461f
-size 22259647
+oid sha256:18cceb162a54d04d3b8335ab57bd9a78b502cb65d954de1dee122d62ee95ad55
+size 14475473

data/valid-mini.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1356199c763408c99a842b9beda048d7fcc488fd6033045eb1cd2b498652b601
-size 97565
+oid sha256:9270e8f25afbc3c578b313fc4db9c3c5675dd4d71628185102ff49bd3dceb4fb
+size 415490

data/valid.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:32d5e6f68ada7bbf6c8304465f283e78c93fe783f8e765e3326ba84f6c98cabd
-size 3338795
+oid sha256:f217315602cc2977c69f8fcc3f14d8253e40eb5b3820b7378dcad79c7525954d
+size 3939295

plane-detection.py

@@ -5,23 +5,23 @@ import os
 import datasets
 
 
-_HOMEPAGE = "https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety/dataset/1"
+_HOMEPAGE = "https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4"
 _LICENSE = "CC BY 4.0"
 _CITATION = """\
-@misc{ construction-site-safety_dataset,
-    title = { Construction Site Safety Dataset },
+@misc{ overhead-plane-detector_dataset,
+    title = { Overhead Plane Detector Dataset },
     type = { Open Source Dataset },
-    author = { Roboflow Universe Projects },
-    howpublished = { \\url{ https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety } },
-    url = { https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety },
+    author = { SkyBot Cam },
+    howpublished = { \\url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
+    url = { https://universe.roboflow.com/skybot-cam/overhead-plane-detector },
     journal = { Roboflow Universe },
     publisher = { Roboflow },
-    year = { 2023 },
+    year = { 2022 },
     month = { jan },
-    note = { visited on 2023-01-18 },
+    note = { visited on 2023-01-27 },
 }
 """
-_CATEGORIES = ['barricade', 'dumpster', 'excavators', 'gloves', 'hardhat', 'mask', 'no-hardhat', 'no-mask', 'no-safety vest', 'person', 'safety net', 'safety shoes', 'safety vest', 'dump truck', 'mini-van', 'truck', 'wheel loader']
+_CATEGORIES = ['planes']
 _ANNOTATION_FILENAME = "_annotations.coco.json"
 
 

split_name_to_num_samples.json

@@ -1 +1 @@
-{"valid": 57, "train": 307, "test": 34}
+{"test": 25, "valid": 50, "train": 175}