Dataset Versions
Versions
2021-09-14 2-44pm For Export-Non-Augmentations
v11
· 3 years ago
4.Add Mark Null - Resize Imgs 2021-09-09 3:01pm
v10
· 3 years ago
3.Clean confusing backhoe 2021-09-08 10:57am
v9
· 3 years ago
2.Scale x3 imgs 2021-09-07 6:16pm
v6
· 3 years ago
1.Add RegionX 2021-09-07 11:57am
v4
· 3 years ago
2021-09-05 2:13pm Not Resize
v2
· 3 years ago
v2
2021-09-05 2:13pm Not Resize
Generated on Sep 5, 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
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4021 Total Images
View All Images
Dataset Split
Train Set 88%
3519Images
Valid Set 8%
335Images
Test Set 4%
167Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -8° and +8°
Saturation: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 2% of pixels