Dataset Versions
Versions
2023-04-11 9:43pm
v23
· 2 years ago
2023-04-11 9:42pm
v22
· 2 years ago
2023-04-11 12:29am
v21
· 2 years ago
2023-04-10 9:16pm
v19
· 2 years ago
2023-04-10 8:57pm
v15
· 2 years ago
2023-04-05 10:12pm
v5
· 2 years ago
2023-04-05 8:49pm
v3
· 2 years ago
2023-04-05 12:05am
v2
· 2 years ago
2023-04-04 4:59pm
v1
· 2 years ago
v23
2023-04-11 9:43pm
Generated on Apr 11, 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
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84 Total Images
View All ImagesDataset Split
Train Set 100%
84Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 20% of images
Saturation: Between -31% and +31%
Brightness: Between -21% and +21%
Exposure: Between -18% and +18%
Blur: Up to 6.25px