Dataset Versions
Versions
easier ver2023-07-23 9-11pm
v13
· a year ago
no dot-dash grayscale2023-07-23 9-02pm
v12
· a year ago
no dot-dash2023-07-19 6-54pm
v11
· a year ago
original w license-dot-dash2023-07-19 4-41pm
v10
· a year ago
2023-06-04 10:56am
v9
· a year ago
2023-06-03 12:07pm
v8
· a year ago
2023-06-02 10:04pm
v7
· a year ago
2023-06-02 11:36am
v6
· a year ago
2023-06-02 11:03am
v5
· a year ago
2023-06-01 7:03pm
v3
· a year ago
2023-05-31 7:53pm
v2
· a year ago
v12
no dot-dash grayscale2023-07-23 9-02pm
Generated on Jul 23, 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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3279 Total Images
View All Images
Dataset Split
Train Set 94%
3093Images
Valid Set 4%
126Images
Test Set 2%
60Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Mosaic: Applied
Bounding Box: Noise: Up to 5% of pixels