Dataset Versions
Versions
2024-01-04 12:54pm
v49
· a year ago
2023-11-26 6:14pm
v48
· a year ago
2023-11-26 6:09pm
v47
· a year ago
2023-11-26 5:19pm
v46
· a year ago
2023-11-26 3:17am
v45
· a year ago
hue x2
v44
· a year ago
grayscale x2
v43
· a year ago
exposure x2
v42
· a year ago
noise x2
v41
· a year ago
shear x2
v40
· a year ago
rotate x2
v39
· a year ago
augmentation 158
v38
· a year ago
augmentation 4 blur-2
v37
· a year ago
augmentation 1 crop x2
v36
· a year ago
augmentation 6 brightness x2
v35
· a year ago
augmentation combined 46
v34
· a year ago
augmentation combined 24
v33
· a year ago
augmentation combined 14
v32
· a year ago
augmentation combined 16
v31
· a year ago
augmentation combined 149
v30
· a year ago
augmentation combined 246
v29
· a year ago
augmentation combined 157
v28
· a year ago
augmentation combined 146
v27
· a year ago
augmentation 9 hue
v24
· a year ago
augmentation 8 grayscale
v22
· a year ago
augmentation 7 exposure
v20
· a year ago
augmentation 6 brightness
v19
· a year ago
2023-11-21 6:42pm
v18
· a year ago
all augmented 12345
v17
· a year ago
no augmentation
v16
· a year ago
augmentation 5 noise
v15
· a year ago
augmentation 4 blur
v14
· a year ago
augmentation 3 shear
v13
· a year ago
augmentation 2 rotate
v12
· a year ago
augmentation 1 crop
v11
· a year ago
augment
v9
· a year ago
2023-11-07 12:04am
v8
· a year ago
2023-11-06 11:49pm
v7
· a year ago
2023-10-13 1:58pm
v5
· a year ago
2023-10-10 3:06pm
v4
· a year ago
2023-10-06 11:50pm
v2
· a year ago
v37
augmentation 4 blur-2
Generated on Nov 22, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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.
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440 Total Images
View All ImagesDataset Split
Train Set 80%
350Images
Valid Set 15%
64Images
Test Set 6%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Blur: Up to 2.5px