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Waste-detection-Inference
Object Detection
Overview
Images
4151
Dataset
4
Model
3
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
2024-07-10 10:16am
v7
·
8 months ago
2024-06-22 9:40am
v6
·
9 months ago
2024-02-24 11:00am
v2
·
a year ago
2024-02-22 7:38pm
v1
·
a year ago
v7
2024-07-10 10:16am
Generated on Jul 10, 2024
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Dataset
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YOLOv11
TXT annotations and YAML config
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YOLOv9
TXT annotations and YAML config
used with
YOLOv9
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YOLOv8
TXT annotations and YAML config
used with
YOLOv8
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YOLOv5
TXT annotations and YAML config
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YOLOv5
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YOLOv7
TXT annotations and YAML config
used with
YOLOv7
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COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
and
Detectron 2
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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
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Tensorflow 2.0 Object Detection
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PaliGemma
PaliGemma JSONL format
used for fine-tuning
PaliGemma
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20721
Total Images
View All Images
Dataset Split
Train Set
96%
19884
Images
Valid Set
2%
416
Images
Test Set
2%
421
Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example:
6
Crop:
0% Minimum Zoom, 40% Maximum Zoom
Noise:
Up to 1.96% of pixels
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