step 1 Dataset
Versions
2023-08-12 6:02pm
v13
· a year ago
2023-08-10 5:20pm
v12
· a year ago
2023-05-25 7:41pm
v10
· a year ago
2023-04-09 4:47am
v6
· 2 years ago
2023-04-05 2:19pm
v5
· 2 years ago
2023-04-05 1:30pm
v4
· 2 years ago
2023-04-01 3:39pm
v3
· 2 years ago
2023-03-22 3:29pm
v2
· 2 years ago
2023-03-22 12:07pm
v1
· 2 years ago
v4
2023-04-05 1:30pm
Generated on Apr 5, 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.
Other Formats
Choose another format.
966 Total Images
View All ImagesDataset Split
Train Set 81%
778Images
Valid Set 13%
129Images
Test Set 6%
59Images
Preprocessing
Resize: Stretch to 1800x1000
Modify Classes: 15 remapped, 48 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±16° Horizontal, ±10° Vertical
Mosaic: Applied