gol-detect -1 Image Dataset
Versions
2023-12-17 11:19am
v12
Dec 17, 2023
2023-12-16 7:23pm
v11
Dec 16, 2023
2023-12-16 7:19pm
v10
Dec 16, 2023
2023-12-15 10:54pm
v9
Dec 15, 2023
2023-12-15 10:54pm
v8
Dec 15, 2023
2023-12-15 10:54pm
v7
Dec 15, 2023
2023-12-15 10:53pm
v6
Dec 15, 2023
2023-12-15 10:53pm
v5
Dec 15, 2023
2023-12-15 10:53pm
v4
Dec 15, 2023
2023-12-15 10:39pm
v3
Dec 15, 2023
2023-12-13 7:32pm
v2
Dec 13, 2023
2023-12-13 6:32pm
v1
Dec 13, 2023
v12
2023-12-17 11:19am
Generated on Dec 17, 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.
581 Total Images
View All Images
Dataset Split
Train Set 90%
522Images
Valid Set 10%
59Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 24 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Noise: Up to 2% of pixels
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