Dataset Versions
Versions
2023-08-21 7:13pm
v19
· a year ago
2023-08-21 7:12pm
v18
· a year ago
2023-08-21 7:09pm
v17
· a year ago
2023-08-21 7:08pm
v16
· a year ago
2023-08-21 7:08pm
v15
· a year ago
2023-08-21 7:03pm
v14
· a year ago
2023-08-21 6:50pm
v12
· a year ago
2023-08-21 6:49pm
v11
· a year ago
2023-08-21 6:49pm
v10
· a year ago
2023-08-21 6:48pm
v9
· a year ago
2023-08-21 6:47pm
v8
· a year ago
2023-08-21 6:46pm
v7
· a year ago
2023-08-21 6:45pm
v6
· a year ago
2023-08-21 6:44pm
v5
· a year ago
2023-08-21 6:43pm
v4
· a year ago
2023-08-21 6:42pm
v3
· a year ago
2023-08-21 6:40pm
v2
· a year ago
2023-08-21 6:39pm
v1
· a year ago
v19
2023-08-21 7:13pm
Generated on Aug 21, 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.
753 Total Images
View All ImagesDataset Split
Train Set 96%
723Images
Valid Set 4%
30Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±7° Horizontal, ±8° Vertical
Grayscale: Apply to 25% of images
Hue: Between -3° and +3°
Saturation: Between -30% and +30%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Cutout: 12 boxes with 3% size each
Mosaic: Applied