Dataset Versions
Versions
alles
v23
· 3 years ago
testshear
v22
· 3 years ago
meer ruis
v21
· 3 years ago
alles train weinig ruis
v20
· 3 years ago
alles train
v19
· 3 years ago
minder shit
v18
· 3 years ago
met plastic 448
v17
· 3 years ago
448 geen rotate en shear
v16
· 3 years ago
geen rotate
v15
· 3 years ago
448 veel aug
v14
· 3 years ago
512 alles
v12
· 3 years ago
512 alleen train
v11
· 3 years ago
512
v10
· 3 years ago
800
v9
· 3 years ago
2021-11-01 9:11am
v8
· 3 years ago
600px arm
v7
· 3 years ago
500px met arm
v6
· 3 years ago
met arm
v5
· 3 years ago
500px
v4
· 3 years ago
2021-10-14 9:23am
v3
· 3 years ago
2021-10-13 7:00pm
v2
· 3 years ago
2021-10-13 11:09am
v1
· 3 years ago
v20
alles train weinig ruis
Generated on Nov 15, 2021
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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968 Total Images
View All Images
Dataset Split
Train Set 96%
927Images
Valid Set 4%
41Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 448x448
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 4% of images
Hue: Between -30° and +30°
Saturation: Between -19% and +19%
Brightness: Between -14% and +14%
Blur: Up to 0.5px
Cutout: 25 boxes with 1% size each