Final Dataset no null Image Dataset
Versions
90-5-5 v4
v18
Jan 11, 2022
95-0-5 v4
v17
Jan 11, 2022
60-20-20 v3
v16
Jan 11, 2022
70-15-15 v2
v14
Jan 10, 2022
95-0-5 v2
v10
Jan 10, 2022
90-5-5 v3
v9
Jan 10, 2022
90-5-5
v8
Jan 8, 2022
95-0-5
v7
Jan 8, 2022
90-5-5
v6
Jan 8, 2022
70-15-15
v5
Jan 7, 2022
60-20-20
v4
Jan 7, 2022
80-10-10
v2
Jan 7, 2022
best dataset
v1
Jan 7, 2022
v18
90-5-5 v4
Generated on Jan 11, 2022
Popular Download Formats
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.
Other Formats
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1365 Total Images
View All Images
Dataset Split
Train Set 90%
1227Images
Valid Set 5%
69Images
Test Set 5%
69Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 3px
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