Dataset Versions
Versions
2024-09-19 8:29am
v15
· 2 months ago
800 images with blur 3.5
v14
· 2 months ago
800 images with noise0.5 and blur 2.5
v13
· 2 months ago
800 images with blur 2.5
v12
· 2 months ago
added even thicker edges
v11
· 2 months ago
600 images with noise 0.5
v10
· 2 months ago
600 images with noise 0.3
v9
· 2 months ago
600 images
v8
· 2 months ago
white grey and black background with thicker edges and noise 0.3
v6
· 2 months ago
white grey and black background with noise 0.3
v5
· 2 months ago
white and grey background with noise 0.3
v4
· 2 months ago
white background with noise 0.3
v3
· 2 months ago
white background with noise 0.1
v2
· 2 months ago
white background
v1
· 2 months ago
v15
2024-09-19 8:29am
Generated on Sep 19, 2024
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.
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1920 Total Images
View All Images
Dataset Split
Train Set 88%
1680Images
Valid Set 13%
240Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Noise: Up to 0.3% of pixels