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
v10
512
Generated on Nov 3, 2021
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
755 Total Images
View All Images
Dataset Split
Train Set 94%
708Images
Valid Set 6%
47Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Rotation: Between -29° and +29°
Grayscale: Apply to 7% of images
Hue: Between -19° and +19°
Saturation: Between -47% and +47%
Brightness: Between -22% and +22%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 25 boxes with 3% size each