Dataset Versions
Versions
v10-v5_benchmark
v10
· 2 years ago
v9-bb_crop
v9
· 2 years ago
v8-bb_brightness
v8
· 2 years ago
v7-crop
v7
· 2 years ago
v6
v6
· 3 years ago
v5
v5
· 3 years ago
v4-no_crop-rebalance
v4
· 3 years ago
v3-no_crop
v3
· 3 years ago
v2-rebalance
v2
· 3 years ago
v1-static_crop-blur-exposure
v1
· 3 years ago
v7
v7-crop
Generated on Jul 3, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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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3357 Total Images
View All Images
Dataset Split
Train Set 89%
2985Images
Valid Set 7%
243Images
Test Set 4%
129Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -25° and +25°
Brightness: Between 0% and +20%
Blur: Up to 1px