Dataset Versions
Versions
darken 5-
v38
· 6 months ago
brightness 25-
v37
· 6 months ago
brightness 20-
v36
· 6 months ago
brightness 15-
v35
· 6 months ago
brightness 10-
v34
· 6 months ago
brightness 5-
v33
· 6 months ago
saturation 34-
v32
· 6 months ago
saturation 30-
v31
· 6 months ago
saturation 25-
v30
· 6 months ago
saturation 20-
v29
· 6 months ago
saturation 15-
v28
· 6 months ago
saturation 10-
v27
· 6 months ago
saturation 5-
v26
· 6 months ago
hue 25-
v25
· 6 months ago
hue 20-
v24
· 6 months ago
hue 15-
v23
· 6 months ago
hue 10-
v22
· 6 months ago
hue 5-
v21
· 6 months ago
grayscale 25-
v20
· 6 months ago
grayscale 20-
v19
· 6 months ago
grayscale 15-
v17
· 6 months ago
graryscale 10-
v16
· 6 months ago
grayscale 5-
v15
· 6 months ago
shear -15-15-
v14
· 6 months ago
shear -10-10-
v13
· 6 months ago
shear -5-5-
v12
· 6 months ago
rotation 0-15-
v11
· 6 months ago
rotation 0-10-
v10
· 6 months ago
rotation 0-5-
v9
· 6 months ago
crop 10-15-
v8
· 6 months ago
crop 5-10-
v7
· 6 months ago
crop 0-5-
v6
· 6 months ago
counter-clockwise
v5
· 6 months ago
clockwise
v4
· 6 months ago
vertical
v3
· 6 months ago
horizontal
v2
· 6 months ago
org
v1
· 6 months ago
v38
darken 5-
Generated on Jun 28, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
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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2873 Total Images
View All ImagesDataset Split
Train Set 87%
2491Images
Valid Set 9%
255Images
Test Set 4%
127Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 960x960
Augmentations
Outputs per training example: 3
Brightness: Between -5% and +0%