Dataset Versions
Versions
resizedto224
v8
· 3 years ago
raw
v7
· 4 years ago
v6 (Resize)
v6
· 4 years ago
v5 (Resize + Grayscale + Rotate + Blur + BB optimizations)
v5
· 4 years ago
v4 (Resize + Rotation + Noise + More images in Light)
v4
· 4 years ago
v3 (Resize + Rotation + Noise)
v3
· 4 years ago
v2 (Resize + Rotation)
v2
· 4 years ago
v1
v1
· 4 years ago
v5
v5 (Resize + Grayscale + Rotate + Blur + BB optimizations)
Generated on Sep 18, 2020
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
Choose another format.
727 Total Images
View All Images
Dataset Split
Train Set 87%
636Images
Valid Set 8%
61Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Blur: Up to 0.25px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%