Circuit Component Detection Image Dataset
Versions
2024-05-23 12:30am
v18
May 22, 2024
2024-05-22 5:02pm
v17
May 22, 2024
2024-05-22 12:39am
v16
May 21, 2024
2024-05-18 8:14pm
v15
May 18, 2024
2024-04-27 1:41pm
v14
Apr 27, 2024
2024-04-15 2:19pm
v13
Apr 15, 2024
2024-04-15 1:53pm
v12
Apr 15, 2024
2024-04-08 9:10pm
v11
Apr 8, 2024
2024-04-03 8:11pm
v10
Apr 3, 2024
2024-03-30 2:26pm
v9
Mar 30, 2024
2024-03-29 11:58pm
v8
Mar 29, 2024
2024-03-28 12:37pm
v7
Mar 28, 2024
2024-03-23 1:42pm
v6
Mar 23, 2024
2024-03-23 4:05am
v5
Mar 22, 2024
2024-03-23 3:15am
v4
Mar 22, 2024
2024-03-23 3:00am
v3
Mar 22, 2024
2024-03-23 2:36am
v2
Mar 22, 2024
2024-03-22 12:00am
v1
Mar 21, 2024
v6
2024-03-23 1:42pm
Generated on Mar 23, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
297 Total Images
View All Images
Dataset Split
Train Set 94%
280Images
Valid Set 3%
10Images
Test Set 2%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 800x800
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.18% of pixels
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