Dataset Versions
Versions
V8 - Colorful - Whitout Box Aug - Cutout - 100 Null - 240x240
v8
· 2 years ago
V7 - Colorful - Whitout Box Aug - Cutout - 95 Null
v7
· 2 years ago
V6 - Colorful - Whitout Box Aug - Cutout - 85 Null
v6
· 2 years ago
V5 - Colorful - Whitout Box Aug - Cutout
v5
· 2 years ago
V4 - Gray - Whitout Box Aug - Cutout
v4
· 2 years ago
V3 - x3 - Colorful - Whitout Box Aug
v3
· 2 years ago
V2 - x3 - GrayScale
v2
· 2 years ago
V1 - x3 - Colorful
v1
· 2 years ago
v8
V8 - Colorful - Whitout Box Aug - Cutout - 100 Null - 240x240
Generated on May 21, 2023
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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8400 Total Images
View All Images
Dataset Split
Train Set 86%
7200Images
Valid Set %
0Images
Test Set 14%
1200Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 240x240
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 4 boxes with 10% size each