Versions
Versions
Pre-Demo
v17
1866
S7V2 - Reduced Aug
v16
1434
400x400
Fit within
S7V1
v15
1434
400x400
Fit within
S6V1 - Hue shift
v14
1237
400x400
Fit within
S5V3
v13
1003
400x400
Fit within
S5V2 - Augmented
v12
1033
400x400
Fit within
S5V1 - Augmented
v11
855
400x400
Fit within
S3V2 - Augmented
v10
669
400x400
Fit within
S3V1 - Augmented
v9
368
400x400
Fit within
S2V1 - No Augmentation
v4
143
400x400
Fit within
S1V2 - No Augmentation
v3
123
Fast
COCOv6n
S1V1 - No Augmentation
v2
85
400x400
Fit within
v17
Pre-Demo
Generated on May 13, 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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1866 Total Images
View All Images
Dataset Split
Train Set 90%
1671Images
Valid Set 5%
92Images
Test Set 6%
103Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 400x400
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -20% and +20%
Blur: Up to 0.5px