Versions
Versions
test10-normal
v17
8720
640x640
Fit (black edges) in
test9-normal-320x320
v16
8720
320x320
Fit (black edges) in
test8-normal-orgsize224x128
v15
8720
224x128
Fit (black edges) in
test7
v14
21142
Fast
lpr-tnata/11
test6
v13
21142
640x640
Fit (black edges) in
test5-normal
v12
8720
640x640
Fit (black edges) in
test4
v11
25042
Fast
COCO
2025-01-10 8:08am
v8
25042
640x640
Fit (black edges) in
test3
v3
1347
640x640
Fit (black edges) in
v14
test7
Generated on Jan 29, 2025
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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21142 Total Images
View All Images
Dataset Split
Train Set 88%
18633Images
Valid Set 8%
1656Images
Test Set 4%
853Images
Preprocessing
Resize: Fit (black edges) in 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±8° Horizontal, ±8° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.52% of pixels