Dataset Versions
Versions
2023-03-09 2:33pm
v15
· 2 years ago
2023-03-09 12:10pm
v14
· 2 years ago
2023-01-22 12:58am
v13
· 2 years ago
2023-01-19 8:39pm
v12
· 2 years ago
2023-01-19 4:01pm
v11
· 2 years ago
2023-01-19 2:36pm
v10
· 2 years ago
2023-01-17 8:35pm
v7
· 2 years ago
2023-01-17 5:04pm
v6
· 2 years ago
2023-01-17 4:23am
v4
· 2 years ago
2023-01-17 3:29am
v3
· 2 years ago
v15
2023-03-09 2:33pm
Generated on Mar 9, 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.
640 Total Images
View All Images
Dataset Split
Train Set 75%
483Images
Valid Set 13%
81Images
Test Set 12%
76Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Grayscale: Apply to 19% of images
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Blur: Up to 1.5px
Noise: Up to 3% of pixels