dataset uploaded by roboflow2huggingface package

README.dataset.txt

@@ -1,5 +1,5 @@
-# Circut-Component-database > 2023-05-21 3:18pm
-https://universe.roboflow.com/ant-snpik/circut-component-database
+# ResistorDataset > 2021-11-02 9:05pm
+https://universe.roboflow.com/harish-madhavan/resistordataset
 
 Provided by a Roboflow user
 License: CC BY 4.0

README.md

@@ -14,14 +14,14 @@ tags:
 ### Dataset Labels
 
 ```
-['elec_capacitor', 'ic_chip', 'capacitor', 'green_led', 'red_led', 'resistor', 'resistor symbol', 'transistor', 'yellow_led']
+['resistor']
 ```
 
 
 ### Number of Images
 
 ```json
-{'valid': 214, 'test': 118, 'train': 1428}
+{'valid': 6, 'test': 3, 'train': 126}
 ```
 
 
@@ -43,22 +43,22 @@ example = ds['train'][0]
 ```
 
 ### Roboflow Dataset Page
-[https://universe.roboflow.com/ant-snpik/circut-component-database/dataset/1](https://universe.roboflow.com/ant-snpik/circut-component-database/dataset/1?ref=roboflow2huggingface)
+[https://universe.roboflow.com/harish-madhavan/resistordataset/dataset/1](https://universe.roboflow.com/harish-madhavan/resistordataset/dataset/1?ref=roboflow2huggingface)
 
 ### Citation
 
 ```
 @misc{
-                            circut-component-database_dataset,
-                            title = { Circut-Component-database Dataset },
+                            resistordataset_dataset,
+                            title = { ResistorDataset Dataset },
                             type = { Open Source Dataset },
-                            author = { Ant },
-                            howpublished = { \\url{ https://universe.roboflow.com/ant-snpik/circut-component-database } },
-                            url = { https://universe.roboflow.com/ant-snpik/circut-component-database },
+                            author = { Harish Madhavan },
+                            howpublished = { \\url{ https://universe.roboflow.com/harish-madhavan/resistordataset } },
+                            url = { https://universe.roboflow.com/harish-madhavan/resistordataset },
                             journal = { Roboflow Universe },
                             publisher = { Roboflow },
-                            year = { 2023 },
-                            month = { may },
+                            year = { 2022 },
+                            month = { sep },
                             note = { visited on 2024-07-16 },
                             }
 ```
@@ -67,27 +67,35 @@ example = ds['train'][0]
 CC BY 4.0
 
 ### Dataset Summary
-This dataset was exported via roboflow.com on October 15, 2023 at 2:22 PM GMT
+This dataset was exported via roboflow.com on December 7, 2022 at 8:42 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 and search unstructured image data
+* understand unstructured image data
 * annotate, and create datasets
 * export, train, and deploy computer vision models
 * use active learning to improve your dataset over time
 
-For state of the art Computer Vision training notebooks you can use with this dataset,
-visit https://github.com/roboflow/notebooks
-
-To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
-
-The dataset includes 1760 images.
-Circut-Component-database are annotated in COCO format.
+It includes 135 images.
+Resistor are annotated in COCO format.
 
 The following pre-processing was applied to each image:
-
-No image augmentation techniques were applied.
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+* Resize to 416x416 (Stretch)
+* Auto-contrast via adaptive equalization
+
+The following augmentation was applied to create 3 versions of each source image:
+* 50% probability of horizontal flip
+* 50% probability of vertical flip
+
+The following transformations were applied to the bounding boxes of each image:
+* 50% probability of horizontal flip
+* 50% probability of vertical flip
+* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
+* Randomly crop between 0 and 20 percent of the bounding box
+* Random brigthness adjustment of between -25 and +25 percent
+* Salt and pepper noise was applied to 5 percent of pixels
 
 
 

README.roboflow.txt

@@ -1,27 +1,35 @@
 
-Circut-Component-database - v1 2023-05-21 3:18pm
+ResistorDataset - v1 2021-11-02 9:05pm
 ==============================
 
-This dataset was exported via roboflow.com on October 15, 2023 at 2:22 PM GMT
+This dataset was exported via roboflow.com on December 7, 2022 at 8:42 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 and search unstructured image data
+* understand unstructured image data
 * annotate, and create datasets
 * export, train, and deploy computer vision models
 * use active learning to improve your dataset over time
 
-For state of the art Computer Vision training notebooks you can use with this dataset,
-visit https://github.com/roboflow/notebooks
-
-To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
-
-The dataset includes 1760 images.
-Circut-Component-database are annotated in COCO format.
+It includes 135 images.
+Resistor are annotated in COCO format.
 
 The following pre-processing was applied to each image:
-
-No image augmentation techniques were applied.
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+* Resize to 416x416 (Stretch)
+* Auto-contrast via adaptive equalization
+
+The following augmentation was applied to create 3 versions of each source image:
+* 50% probability of horizontal flip
+* 50% probability of vertical flip
+
+The following transformations were applied to the bounding boxes of each image:
+* 50% probability of horizontal flip
+* 50% probability of vertical flip
+* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
+* Randomly crop between 0 and 20 percent of the bounding box
+* Random brigthness adjustment of between -25 and +25 percent
+* Salt and pepper noise was applied to 5 percent of pixels
 
 

data/test.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:02cf53e91506414aed463b8b04eefd5e292e5483084c1aec2d32b7c7d26db046
-size 5583354
+oid sha256:c5f92c517047d305a2271cd441ac02c4424830ff871c215e328f0a1b9f295323
+size 111313

data/train.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:813471d3c1a047eec78bbd8494f0f2384ea8d191e46055b35a2c259ae2ad09c2
-size 83741468
+oid sha256:fc2afc186a303dd87e45d7ca3d0507297f04216a4a5464d77928c45be5783dd2
+size 4081628

data/valid-mini.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47e722369d5155fe5361525ebdb2e168b0fb6202bde3d05c39d61546bdde2ebe
-size 47583
+oid sha256:5b602866d892a43a7a45aac300f2e530bf05521df7bd6ec4966ab4d5669d2207
+size 40779

data/valid.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a3ba0cae41c648a241ae8b6133a586beb77a6fc3a4425a26c59a61a19cc697bb
-size 10278174
+oid sha256:01b769ae0dae84c3904d237821fabc4f2434105370533b609c14fc564fa3aee5
+size 83166

resistordataset.py

@@ -5,24 +5,24 @@ import os
 import datasets
 
 
-_HOMEPAGE = "https://universe.roboflow.com/ant-snpik/circut-component-database/dataset/1"
+_HOMEPAGE = "https://universe.roboflow.com/harish-madhavan/resistordataset/dataset/1"
 _LICENSE = "CC BY 4.0"
 _CITATION = """\
 @misc{
-                            circut-component-database_dataset,
-                            title = { Circut-Component-database Dataset },
+                            resistordataset_dataset,
+                            title = { ResistorDataset Dataset },
                             type = { Open Source Dataset },
-                            author = { Ant },
-                            howpublished = { \\url{ https://universe.roboflow.com/ant-snpik/circut-component-database } },
-                            url = { https://universe.roboflow.com/ant-snpik/circut-component-database },
+                            author = { Harish Madhavan },
+                            howpublished = { \\url{ https://universe.roboflow.com/harish-madhavan/resistordataset } },
+                            url = { https://universe.roboflow.com/harish-madhavan/resistordataset },
                             journal = { Roboflow Universe },
                             publisher = { Roboflow },
-                            year = { 2023 },
-                            month = { may },
+                            year = { 2022 },
+                            month = { sep },
                             note = { visited on 2024-07-16 },
                             }
 """
-_CATEGORIES = ['elec_capacitor', 'ic_chip', 'capacitor', 'green_led', 'red_led', 'resistor', 'resistor symbol', 'transistor', 'yellow_led']
+_CATEGORIES = ['resistor']
 _ANNOTATION_FILENAME = "_annotations.coco.json"
 
 

split_name_to_num_samples.json

@@ -1 +1 @@
-{"valid": 214, "test": 118, "train": 1428}
+{"valid": 6, "test": 3, "train": 126}