Dataset Versions
Versions
Parts with aug
v33
· a year ago
steps with Aug
v32
· a year ago
jetson-validation
v31
· a year ago
ios-validation
v30
· a year ago
canon-validation
v29
· a year ago
All_canon-jetson-ios-validation-excluded
v27
· a year ago
OnlySteps- filter parts
v24
· a year ago
OnlyParts- filter steps
v22
· a year ago
2023-07-18 6:01pm
v14
· a year ago
2023-05-11 7:02pm
v1
· 2 years ago
v32
steps with Aug
Generated on Aug 3, 2023
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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1314 Total Images
View All Images
Dataset Split
Train Set 76%
997Images
Valid Set 24%
317Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 60% of images to contain annotations.
Filter by Tag: 0 required, 0 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -25° and +25°
Exposure: Between -12% and +12%