Dataset Versions
Versions
brightness4
v46
· 3 years ago
crop3
v45
· 3 years ago
brightness3
v44
· 3 years ago
base3
v43
· 3 years ago
shear3
v42
· 3 years ago
base
v41
· 3 years ago
mosaic2
v40
· 3 years ago
blur2
v39
· 3 years ago
exposure2
v38
· 3 years ago
brightness2
v37
· 3 years ago
saturation2
v36
· 3 years ago
grayscale2
v35
· 3 years ago
shear2
v34
· 3 years ago
rotate2
v33
· 3 years ago
90rotate2
v32
· 3 years ago
flip2
v31
· 3 years ago
mosaic
v29
· 3 years ago
cutout
v28
· 3 years ago
noise
v27
· 3 years ago
blur
v26
· 3 years ago
exposure
v25
· 3 years ago
brightness
v24
· 3 years ago
saturation
v23
· 3 years ago
hue
v22
· 3 years ago
grayscale
v21
· 3 years ago
shear
v20
· 3 years ago
rotate2
v19
· 3 years ago
rotate
v18
· 3 years ago
flip
v17
· 3 years ago
crop
v16
· 3 years ago
v46
brightness4
Generated on Jun 28, 2022
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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.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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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.
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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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859 Total Images
View All Images
Dataset Split
Train Set 100%
859Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Brightness: Between -35% and +35%