Dataset Versions
Versions
2022-08-25 1280 normal
v12
· 2 years ago
2022-08-25 normal
v11
· 2 years ago
2022-08-15 normal
v10
· 2 years ago
2022-08-15 contrast
v9
· 2 years ago
2022-05-29 1:05pm
v8
· 2 years ago
contrast_wo_augmentation
v6
· 2 years ago
test_contrast
v4
· 2 years ago
cropped 1
v3
· 2 years ago
2022-05-27 2:56pm
v2
· 2 years ago
2022-05-27 2:55pm
v1
· 2 years ago
v4
test_contrast
Generated on May 27, 2022
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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167 Total Images
View All Images
Dataset Split
Train Set 87%
145Images
Valid Set 8%
14Images
Test Set 5%
8Images
Preprocessing
Auto-Orient: Applied
Static Crop: 21-83% Horizontal Region, 0-33% Vertical Region
Resize: Fit within 1280x1280
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Brightness: Between -30% and +30%
Exposure: Between -21% and +21%