Dataset Versions
Versions
val-square
v14
· 3 years ago
val-only
v13
· 3 years ago
test_final_aug
v12
· 3 years ago
test_final
v11
· 3 years ago
valid-base
v10
· 3 years ago
validset-square
v9
· 3 years ago
validset-aug2
v8
· 3 years ago
testset-aug2
v7
· 3 years ago
testset-aug1
v6
· 3 years ago
testset-square
v5
· 3 years ago
testset-base
v4
· 3 years ago
yolov4
v2
· 3 years ago
yolo
v1
· 3 years ago
v12
test_final_aug
Generated on Feb 18, 2022
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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 YOLOv7.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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5919 Total Images
View All Images
Dataset Split
Train Set 94%
5583Images
Valid Set %
0Images
Test Set 6%
336Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 5% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -4% and +4%
Exposure: Between -2% and +2%
Blur: Up to 0.5px