old_obj_detection_new_img_jun2024 Dataset
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2024-09-10 12:18pm
v18
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2024-08-21 9:51am
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v1
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v15
2024-08-18 11:07am
Generated on Aug 18, 2024
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.
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1690 Total Images
View All Images
Dataset Split
Train Set 92%
1548Images
Valid Set 4%
76Images
Test Set 4%
66Images
Preprocessing
Resize: Stretch to 1280x1280
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -8% and +8%
Exposure: Between -10% and +10%
Blur: Up to 0.4px
Noise: Up to 0.98% of pixels