Dataset Versions
Versions
Non-Aug Original-Res 2 2024-09-03 9-25 am
v13
· 2 months ago
Non-Augmented Original-Res 2024-08-23 10-45am
v12
· 3 months ago
Non-Augmented 2024-08-23 10-43am
v11
· 3 months ago
2024-08-18 3:56am
v10
· 3 months ago
2024-08-17 8:49pm
v9
· 3 months ago
2024-08-17 8:48pm
v8
· 3 months ago
2024-08-17 6:34pm
v7
· 3 months ago
2024-08-17 5:25pm
v6
· 3 months ago
2024-08-14 2:14pm
v5
· 3 months ago
2024-08-14 9:36am
v4
· 3 months ago
v9
2024-08-17 8:49pm
Generated on Aug 17, 2024
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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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791 Total Images
View All Images
Dataset Split
Train Set 84%
666Images
Valid Set 9%
75Images
Test Set 6%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px