Project 2 Dataset
Versions
2023-07-25 12:50pm
v10
· a year ago
2023-07-25 9:44am
v9
· a year ago
2023-07-25 8:08am
v8
· a year ago
2023-07-24 11:06pm
v7
· a year ago
2023-07-24 11:04pm
v6
· a year ago
2023-07-24 11:02pm
v5
· a year ago
2023-07-24 8:51pm
v3
· a year ago
2023-07-24 6:34pm
v2
· a year ago
2023-07-23 5:58pm
v1
· a year ago
v10
2023-07-25 12:50pm
Generated on Jul 25, 2023
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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705 Total Images
View All ImagesDataset Split
Train Set 86%
609Images
Valid Set 9%
62Images
Test Set 5%
34Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied