DL-Project Image Dataset
Versions
2023-03-15 10-31pm-90x90-NoCut-out-NoBlur
v8
Mar 15, 2023
2023-03-15 10-27pm- resize90x90- no cut out
v7
Mar 15, 2023
2023-03-15 10-23pm-Resize 150x150
v6
Mar 15, 2023
2023-03-15 10-19pm- Resize90x90
v5
Mar 15, 2023
2023-03-14 9:09pm
v4
Mar 14, 2023
2023-03-14 12:10am
v3
Mar 13, 2023
2023-03-11 6:05pm
v1
Mar 11, 2023
v3
2023-03-14 12:10am
Generated on Mar 13, 2023
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
Choose another format.
2314 Total Images
View All Images
Dataset Split
Train Set 87%
2016Images
Valid Set 8%
181Images
Test Set 5%
117Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±21° Horizontal, ±23° Vertical
Hue: Between -59° and +59°
Exposure: Between -54% and +54%
Blur: Up to 10px
Cutout: 4 boxes with 33% size each
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -45% and +45%
Bounding Box: Noise: Up to 5% of pixels
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