Dataset Versions
Versions
2024-08-27 7:39am
v9
· 3 months ago
2024-08-27 5:25am
v8
· 3 months ago
2024-08-27 2:55am
v7
· 3 months ago
2024-08-27 1:34am
v6
· 3 months ago
2024-08-26 5:13am
v5
· 3 months ago
2024-08-26 5:12am
v4
· 3 months ago
2024-08-26 5:10am
v3
· 3 months ago
2024-08-26 5:09am
v2
· 3 months ago
2024-08-26 2:44am
v1
· 3 months ago
v1
2024-08-26 2:44am
Generated on Aug 26, 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
Choose another format.
141 Total Images
View All Images
Dataset Split
Train Set 87%
123Images
Valid Set 9%
12Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: side-pallet
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 0.1% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Noise: Up to 0.1% of pixels