eclatorq3 Image Dataset
Versions
2024-02-16 10:51pm
v12
Feb 16, 2024
2024-01-19 2:12am
v11
Jan 18, 2024
2023-11-01 5:52pm
v10
Nov 1, 2023
2023-10-24 1:23am
v9
Oct 23, 2023
2023-10-22 5:54am
v8
Oct 21, 2023
2023-10-18 12:01am
v5
Oct 17, 2023
2023-10-17 3:22am
v4
Oct 16, 2023
2023-10-17 12:08am
v3
Oct 16, 2023
2023-10-16 5:24pm
v2
Oct 16, 2023
2023-10-13 3:00am
v1
Oct 12, 2023
v12
2024-02-16 10:51pm
Generated on Feb 16, 2024
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
9162 Total Images
View All Images
Dataset Split
Train Set 89%
8142Images
Valid Set 8%
728Images
Test Set 3%
292Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -32% and +32%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 9 boxes with 3% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -6% and +6%
Bounding Box: Noise: Up to 3% of pixels
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