Dataset Versions
Versions
NoAugmentation
v11
· 7 months ago
2024-05-17 11:23am
v10
· 7 months ago
2024-04-29 10:44pm
v9
· 8 months ago
2024-04-14 10:41pm
v8
· 8 months ago
2024-04-14 5:19am
v7
· 8 months ago
2024-04-14 4:44am
v6
· 8 months ago
2024-04-13 5:01pm
v5
· 8 months ago
2024-04-13 2:20pm
v4
· 8 months ago
2024-03-15 1:08am
v2
· 9 months ago
2024-03-10 8:23pm
v1
· 9 months ago
v6
2024-04-14 4:44am
Generated on Apr 14, 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.
Other Formats
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7908 Total Images
View All Images
Dataset Split
Train Set 88%
6936Images
Valid Set 8%
648Images
Test Set 4%
324Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Filter Null: Require at least 25% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±9° Horizontal, ±9° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 1.22% of pixels